Kai-Wei Chang

620 papers A* 105A 10B 6C 5Misc 3Journal 333Unranked 153
YearRankTypeTitle / Venue / Authors
2026 J jnl
AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering.
CoRR
Chun-Yi Kuan, Kai-Wei Chang, Hung-yi Lee
2026 — conf
BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation.
EACL (Volume 1: Long Papers)
Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, Kai-Wei Chang
2026 — conf
BLUR: A Bi-Level Optimization Approach for LLM Unlearning.
EACL (Volume 1: Long Papers)
Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2026 A* conf
Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Department.
CHI
Menglin Zhao, Zhuorui Yong, Ruijia Guan, Kai-Wei Chang, Adrian Haimovich, Kei Ouchi, Timothy W. Bickmore, Zhan Zhang, Bingsheng Yao, Dakuo Wang, Smit Desai
2026 J jnl
FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback.
CoRR
Xueqing Wu, Zihan Xue, Da Yin, Shuyan Zhou, Kai-Wei Chang, Nanyun Peng, Yeming Wen
2026 J jnl
LLM Alignment should go beyond Harmlessness-Helpfulness and incorporate Human Agency.
Cogn. Comput.
Usman Naseem, Tanmoy Chakraborty, Kai-Wei Chang, Mark Dras, Preslav Nakov, Nanyun Peng, Soujanya Poria
2026 J jnl
Learning Structured Reasoning via Tractable Trajectory Control.
CoRR
Po-Nien Kung, Zhen Yang, Jeffrey Luo, Cheng-Fu Yang, Haikang Deng, Zi-Yi Dou, Yinfei Yang, Nanyun Peng, Zhe Gan, Kai-Wei Chang
2026 J jnl
On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation.
CoRR
Jeff Chan-Jan Sju, Liang-Hsuan Tseng, Yi-Cheng Lin, Yen-Chun Kuo, Ju-Chieh Chou, Kai-Wei Chang, Hung-yi Lee, Carlos Busso
2026 — conf
Open-Domain Safety Policy Construction.
EACL (Findings)
Di Wu, Siyue Liu, Zixiang Ji, Ya-Liang Chang, Zhe-Yu Liu, Andrew Pleffer, Kai-Wei Chang
2026 J jnl
Scale Can't Overcome Pragmatics: The Impact of Reporting Bias on Vision-Language Reasoning.
CoRR
Amita Kamath, Jack Hessel, Khyathi Chandu Raghavi, Jena D. Hwang, Kai-Wei Chang, Ranjay Krishna
2026 J jnl
TaigiSpeech: A Low-Resource Real-World Speech Intent Dataset and Preliminary Results with Scalable Data Mining In-the-Wild.
CoRR
Kai-Wei Chang, Yi-Cheng Lin, Huang-Cheng Chou, Wenze Ren, Yu-Han Huang, Yun-Shao Tsai, Chien-Cheng Chen, Yu Tsao, Yuan-Fu Liao, Shrikanth Narayanan, James R. Glass, Hung-yi Lee
2026 J jnl
TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?
CoRR
Alexander K. Taylor, Junyi Zhang, Ethan Ji, Vigyan Sahai, Haikang Deng, Yuanzhou Chen, Yifan Yuan, Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng, Amit Sahai, Wei Wang
2026 J jnl
TiCo: Time-Controllable Training for Spoken Dialogue Models.
CoRR
Kai-Wei Chang, Wei-Chih Chen, En-Pei Hu, Hung-yi Lee, James R. Glass
2026 J jnl
Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability.
CoRR
Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen
2025 J jnl
3DLLM-Mem: Long-Term Spatial-Temporal Memory for Embodied 3D Large Language Model.
CoRR
Wenbo Hu, Yining Hong, Yanjun Wang, Leison Gao, Zibu Wei, Xingcheng Yao, Nanyun Peng, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang
2025 J jnl
Agree to Disagree? A Meta-Evaluation of LLM Misgendering.
CoRR
Arjun Subramonian, Vagrant Gautam, Preethi Seshadri, Dietrich Klakow, Kai-Wei Chang, Yizhou Sun
2025 A conf
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models.
INTERSPEECH
Chi-Yuan Hsiao, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Wei-Chih Chen, Hung-yi Lee
2025 J jnl
Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models.
CoRR
Chi-Yuan Hsiao, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Wei-Chih Chen, Hung-yi Lee
2025 J jnl
BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation.
CoRR
Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, Kai-Wei Chang
2025 J jnl
BLUR: A Bi-Level Optimization Approach for LLM Unlearning.
CoRR
Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong
2025 J jnl
BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning.
CoRR
Jia-Chen Gu, Junyi Zhang, Di Wu, Yuankai Li, Kai-Wei Chang, Nanyun Peng
2025 — conf
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression.
NAACL (Findings)
Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng
2025 J jnl
CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback.
CoRR
Yixin Wan, Kai-Wei Chang
2025 — conf
Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization.
ACL (Findings)
Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover
2025 B conf
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding.
COLING
Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2025 J jnl
ContextNav: Towards Agentic Multimodal In-Context Learning.
CoRR
Honghao Fu, Yuan Ouyang, Kai-Wei Chang, Yiwei Wang, Zi Huang, Yujun Cai
2025 A* conf
Contradiction Retrieval via Contrastive Learning with Sparsity.
ICML
Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk
2025 A* conf
Contrastive Visual Data Augmentation.
ICML
Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
2025 J jnl
Contrastive Visual Data Augmentation.
CoRR
Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
2025 A* conf
Controllable Generation via Locally Constrained Resampling.
ICLR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2025 J jnl
Customize Multi-modal RAI Guardrails with Precedent-based predictions.
CoRR
Cheng-Fu Yang, Thanh Tran, Christos Christodoulopoulos, Weitong Ruan, Rahul Gupta, Kai-Wei Chang
2025 — conf
DRS: Deep Question Reformulation With Structured Output.
ACL (Findings)
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2025 J jnl
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment.
CoRR
Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Sung-Feng Huang, Chih-Kai Yang, Chee-En Yu, Chun-Wei Chen, Wei-Chih Chen, Chien-yu Huang, Yi-Cheng Lin, Yu-Xiang Lin, Chi-An Fu, Chun-Yi Kuan, Wenze Ren, Xuanjun Chen, Wei-Ping Huang, En-Pei Hu, Tzu-Quan Lin, Yuan-Kuei Wu, Kuan-Po Huang, Hsiao-Ying Huang, Huang-Cheng Chou, Kai-Wei Chang, Cheng-Han Chiang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee
2025 J jnl
Designing AI Tools for Clinical Care Teams to Support Serious Illness Conversations with Older Adults in the Emergency Department.
CoRR
Menglin Zhao, Zhuorui Yong, Ruijia Guan, Kai-Wei Chang, Adrian Haimovich, Kei Ouchi, Timothy W. Bickmore, Bingsheng Yao, Dakuo Wang, Smit Desai
2025 A* conf
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning.
EMNLP
Tanmay Parekh, Kartik Mehta, Ninareh Mehrabi, Kai-Wei Chang, Nanyun Peng
2025 J jnl
DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning.
CoRR
Tanmay Parekh, Kartik Mehta, Ninareh Mehrabi, Kai-Wei Chang, Nanyun Peng
2025 J jnl
DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation.
CoRR
Yu Zhou, Sohyun An, Haikang Deng, Da Yin, Clark Peng, Cho-Jui Hsieh, Kai-Wei Chang, Nanyun Peng
2025 J jnl
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models.
CoRR
Eric Hanchen Jiang, Guancheng Wan, Sophia Yin, Mengting Li, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu
2025 A* conf
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
ICLR
Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Alejandro Ritter Gutierrez, et al.
2025 J jnl
Embodied Web Agents: Bridging Physical-Digital Realms for Integrated Agent Intelligence.
CoRR
Yining Hong, Rui Sun, Bingxuan Li, Xingcheng Yao, Maxine Wu, Alexander Chien, Da Yin, Ying Nian Wu, Zhecan James Wang, Kai-Wei Chang
2025 J jnl
Energy-Driven Steering: Reducing False Refusals in Large Language Models.
CoRR
Eric Hanchen Jiang, Weixuan Ou, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, Xiaofeng Wang, Ying Nian Wu, Xinfeng Li
2025 J jnl
Enhancing LLM Character-Level Manipulation via Divide and Conquer.
CoRR
Zhen Xiong, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Zhecheng Li, Yiwei Wang
2025 A* conf
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models.
CVPR
Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai
2025 J jnl
FIG: Forward-Inverse Generation for Low-Resource Domain-specific Event Detection.
CoRR
Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar, Artin Kim, I-Hung Hsu, Kai-Wei Chang, Nanyun Peng
2025 J jnl
Fact or Guesswork? Evaluating Large Language Model's Medical Knowledge with Structured One-Hop Judgment.
CoRR
Jiaxi Li, Yiwei Wang, Kai Zhang, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Jin Lu
2025 J jnl
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries.
CoRR
Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu
2025 J jnl
FameMind: Frame-Interleaved Video Reasoning via Reinforcement Learning.
CoRR
Haonan Ge, Yiwei Wang, Kai-Wei Chang, Hang Wu, Yujun Cai
2025 J jnl
From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs.
CoRR
Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta
2025 J jnl
Game-Time: Evaluating Temporal Dynamics in Spoken Language Models.
CoRR
Kai-Wei Chang, En-Pei Hu, Chun-Yi Kuan, Wenze Ren, Wei-Chih Chen, Guan-Ting Lin, Yu Tsao, Shao-Hua Sun, Hung-yi Lee, James Glass
2025 J jnl
GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation.
CoRR
Amita Kamath, Kai-Wei Chang, Ranjay Krishna, Luke Zettlemoyer, Yushi Hu, Marjan Ghazvininejad
2025 J jnl
Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions.
CoRR
Boyan Duan, Xiao Liang, Shuai Lu, Yaoxiang Wang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Mao Yang, Weizhu Chen, Yeyun Gong
2025 J jnl
HoneyBee: Data Recipes for Vision-Language Reasoners.
CoRR
Hritik Bansal, Devandra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru
2025 J jnl
K-Edit: Language Model Editing with Contextual Knowledge Awareness.
CoRR
Elan Markowitz, Anil Ramakrishna, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2025 J jnl
Kaleidoscopic Teaming in Multi Agent Simulations.
CoRR
Ninareh Mehrabi, Tharindu Kumarage, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2025 J jnl
LLMs as Scalable, General-Purpose Simulators For Evolving Digital Agent Training.
CoRR
Yiming Wang, Da Yin, Yuedong Cui, Ruichen Zheng, Zhiqian Li, Zongyu Lin, Di Wu, Xueqing Wu, Chenchen Ye, Yu Zhou, Kai-Wei Chang
2025 — conf
LUME: LLM Unlearning with Multitask Evaluations.
EMNLP (Findings)
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 J jnl
LUME: LLM Unlearning with Multitask Evaluations.
CoRR
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 J jnl
LaViDa: A Large Diffusion Language Model for Multimodal Understanding.
CoRR
Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover
2025 J jnl
Learning to Rank Chain-of-Thought: An Energy-Based Approach with Outcome Supervision.
CoRR
Eric Hanchen Jiang, Haozheng Luo, Shengyuan Pang, Xiaomin Li, Zhenting Qi, Hengli Li, Cheng-Fu Yang, Zongyu Lin, Xinfeng Li, Hao Xu, Kai-Wei Chang, Ying Nian Wu
2025 J jnl
LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs.
CoRR
Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya-An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin
2025 A* conf
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.
ICLR
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
2025 — conf
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling.
ACL (1)
Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng
2025 J jnl
METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling.
CoRR
Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng
2025 J jnl
MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks.
CoRR
Hyeonjeong Ha, Qiusi Zhan, Jeonghwan Kim, Dimitrios Bralios, Saikrishna Sanniboina, Nanyun Peng, Kai-Wei Chang, Daniel Kang, Heng Ji
2025 A* conf
MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations.
ICLR
Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu
2025 A* conf
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
ICLR
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng
2025 — conf
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
ACL (1)
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 J jnl
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation.
CoRR
Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister
2025 J jnl
Measuring Narrative Complexity Among Suicide Deaths in the National Violent Death Reporting System (2003-2021 NVDRS).
Inf.
Christina Chance, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang, Susan D. Cochran
2025 J jnl
MotionEdit: Benchmarking and Learning Motion-Centric Image Editing.
CoRR
Yixin Wan, Lei Ke, Wenhao Yu, Kai-Wei Chang, Dong Yu
2025 A* conf
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
ICLR
Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025 — conf
Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models.
EMNLP (Findings)
Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025 J jnl
Not Every Token Needs Forgetting: Selective Unlearning to Limit Change in Utility in Large Language Model Unlearning.
CoRR
Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta
2025 — conf
On Localizing and Deleting Toxic Memories in Large Language Models.
NAACL (Findings)
Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2025 J jnl
On The Landscape of Spoken Language Models: A Comprehensive Survey.
CoRR
Siddhant Arora, Kai-Wei Chang, Chung-Ming Chien, Yifan Peng, Haibin Wu, Yossi Adi, Emmanuel Dupoux, Hung-yi Lee, Karen Livescu, Shinji Watanabe
2025 J jnl
On The Landscape of Spoken Language Models: A Comprehensive Survey.
Trans. Mach. Learn. Res.
Siddhant Arora, Kai-Wei Chang, Chung-Ming Chien, Yifan Peng, Haibin Wu, Yossi Adi, Emmanuel Dupoux, Hung-yi Lee, Karen Livescu, Shinji Watanabe
2025 J jnl
OpenThoughts: Data Recipes for Reasoning Models.
CoRR
Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt
2025 J jnl
OpenVLThinker: An Early Exploration to Complex Vision-Language Reasoning via Iterative Self-Improvement.
CoRR
Yihe Deng, Hritik Bansal, Fan Yin, Nanyun Peng, Wei Wang, Kai-Wei Chang
2025 J jnl
PARTONOMY: Large Multimodal Models with Part-Level Visual Understanding.
CoRR
Ansel Blume, Jeonghwan Kim, Hyeonjeong Ha, Elen Chatikyan, Xiaomeng Jin, Khanh Duy Nguyen, Nanyun Peng, Kai-Wei Chang, Derek Hoiem, Heng Ji
2025 A* conf
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.
ICML
Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2025 J jnl
QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search.
CoRR
Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2025 J jnl
Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English.
CoRR
Rebecca Dorn, Christina Chance, Casandra Rusti, Charles Bickham, Kai-Wei Chang, Fred Morstatter, Kristina Lerman
2025 A* conf
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection.
EMNLP
Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar, Artin Kim, I-Hung Hsu, Kai-Wei Chang, Nanyun Peng
2025 — conf
SYNTHIA: Novel Concept Design with Affordance Composition.
ACL (1)
Hyeonjeong Ha, Xiaomeng Jin, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji
2025 J jnl
Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization.
CoRR
Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng
2025 J jnl
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models.
CoRR
Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta
2025 A* conf
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation.
ICLR
Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Ying Nian Wu, Lijuan Wang
2025 J jnl
Synthia: Novel Concept Design with Affordance Composition.
CoRR
Xiaomeng Jin, Hyeonjeong Ha, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji
2025 — conf
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects.
ACL (1)
Yixin Wan, Kai-Wei Chang
2025 — conf
The Root Shapes the Fruit: On the Persistence of Gender-Exclusive Harms in Aligned Language Models.
FAccT
Anaelia Ovalle, Krunoslav Lehman Pavasovic, Louis Martin, Luke Zettlemoyer, Eric Michael Smith, Kai-Wei Chang, Adina Williams, Levent Sagun
2025 — conf
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
ACL (Findings)
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025 J jnl
Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation.
CoRR
Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris
2025 J jnl
Towards Unsupervised Speech Recognition at the Syllable-Level.
CoRR
Liming Wang, Junrui Ni, Kai-Wei Chang, Saurabhchand Bhati, David Harwath, Mark Hasegawa-Johnson, James R. Glass
2025 — conf
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
NAACL (Long Papers)
Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2025 — conf
V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning.
ACL (Findings)
Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun
2025 A* conf
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning.
CVPR
Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng
2025 J jnl
VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.
CoRR
Hritik Bansal, Clark Peng, Yonatan Bitton, Roman Goldenberg, Aditya Grover, Kai-Wei Chang
2025 A* conf
VideoPhy: Evaluating Physical Commonsense for Video Generation.
ICLR
Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover
2025 J jnl
Visualized Text-to-Image Retrieval.
CoRR
Di Wu, Yixin Wan, Kai-Wei Chang
2025 — conf
Vulnerability of LLMs to Vertically Aligned Text Manipulations.
ACL (1)
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang
2025 — conf
Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety.
NAACL (Findings)
Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang
2025 J jnl
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning.
CoRR
Nishad Singhi, Hritik Bansal, Arian Hosseini, Aditya Grover, Kai-Wei Chang, Marcus Rohrbach, Anna Rohrbach
2025 — conf
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases.
EMNLP (Findings)
Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu
2025 J jnl
Which Cultural Lens Do Models Adopt? On Cultural Positioning Bias and Agentic Mitigation in LLMs.
CoRR
Yixin Wan, Xingrun Chen, Kai-Wei Chang
2025 — conf
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs.
ACL (1)
Yixin Wan, Kai-Wei Chang
2025 J jnl
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents.
CoRR
Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md. Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel
2024 — conf
Agent Lumos: Unified and Modular Training for Open-Source Language Agents.
ACL (1)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
2024 — conf
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.
ACL (Findings)
Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng
2024 J jnl
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data.
CoRR
Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng
2024 — conf
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
EMNLP (Findings)
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 J jnl
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification.
CoRR
Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris
2024 J jnl
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression.
CoRR
Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng
2024 — conf
CASA: Causality-driven Argument Sufficiency Assessment.
NAACL-HLT
Xiao Liu, Yansong Feng, Kai-Wei Chang
2024 J jnl
CASA: Causality-driven Argument Sufficiency Assessment.
CoRR
Xiao Liu, Yansong Feng, Kai-Wei Chang
2024 — conf
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought.
LREC/COLING
Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang
2024 J jnl
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought.
CoRR
Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su
2024 A* conf
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.
ICML
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
2024 J jnl
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.
CoRR
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
2024 A* conf
CoBIT: A Contrastive Bi-directional Image-Text Generation Model.
ICLR
Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason M. Baldridge, Jiahui Yu
2024 J jnl
Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models.
CoRR
Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-yi Lee
2024 — conf
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models.
ACL (Findings)
Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee
2024 J jnl
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models.
CoRR
Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee
2024 — conf
Codec-Superb @ SLT 2024: A Lightweight Benchmark For Neural Audio Codec Models.
SLT
Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-yi Lee
2024 J jnl
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization.
CoRR
Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover
2024 J jnl
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding.
CoRR
Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2024 A* conf
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.
ICML
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng
2024 J jnl
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models.
CoRR
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng
2024 — conf
Contextual Label Projection for Cross-Lingual Structured Prediction.
NAACL-HLT
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2024 A* conf
Control Large Language Models via Divide and Conquer.
EMNLP
Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Control Large Language Models via Divide and Conquer.
CoRR
Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Controllable Generation via Locally Constrained Resampling.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2024 A* conf
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation.
NeurIPS
Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang
2024 J jnl
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation.
CoRR
Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang
2024 J jnl
DRS: Deep Question Reformulation With Structured Output.
CoRR
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang
2024 A* conf
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
EMNLP
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.
CoRR
Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
DeepEdit: Knowledge Editing as Decoding with Constraints.
CoRR
Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang
2024 A* conf
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions.
ACM Multimedia
Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Chris Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang
2024 J jnl
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions.
CoRR
Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Christopher Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang
2024 J jnl
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR
Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee
2024 Misc conf
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech.
ICASSP
Chien-yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-yi Lee
2024 J jnl
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition.
CoRR
Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-yi Lee
2024 — conf
Empower Typed Descriptions by Large Language Models for Speech Emotion Recognition.
APSIPA
Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-yi Lee
2024 A* conf
Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
NeurIPS
Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, Quanquan Gu, James Y. Zou, Kai-Wei Chang, Wei Wang
2024 J jnl
Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
CoRR
Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang
2024 — conf
Event Detection from Social Media for Epidemic Prediction.
NAACL-HLT
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024 J jnl
Event Detection from Social Media for Epidemic Prediction.
CoRR
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
2024 A conf
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks.
INTERSPEECH
Kai-Wei Chang, Ming-Hao Hsu, Shang-wen Li, Hung-yi Lee
2024 J jnl
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models.
CoRR
Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai
2024 A* conf
FLIRT: Feedback Loop In-context Red Teaming.
EMNLP
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2024 J jnl
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling.
CoRR
Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng
2024 A* conf
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images.
NeurIPS
Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad A. Ayyubi, Haoxuan You, Alvi Md. Ishmam, Kai-Wei Chang, Shih-Fu Chang, Christopher Thomas
2024 J jnl
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images.
CoRR
Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad A. Ayyubi, Haoxuan You, Alvi Md. Ishmam, Kai-Wei Chang, Shih-Fu Chang, Chris Thomas
2024 — conf
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation.
ACL (Findings)
Di Wu, Da Yin, Kai-Wei Chang
2024 — conf
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.
EMNLP (Findings)
Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang
2024 J jnl
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning.
CoRR
Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang
2024 J jnl
LLMs in Biomedicine: A study on clinical Named Entity Recognition.
CoRR
Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel, Melika Emami, Fazlolah Mohaghegh, Mozhdeh Rouhsedaghat, Kai-Wei Chang
2024 J jnl
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.
CoRR
Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
2024 — conf
MACAROON: Training Vision-Language Models To Be Your Engaged Partners.
EMNLP (Findings)
Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji
2024 J jnl
MACAROON: Training Vision-Language Models To Be Your Engaged Partners.
CoRR
Shujin Wu, Yi R. Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji
2024 — conf
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
ECCV (8)
Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li
2024 A* conf
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.
ACM Multimedia
Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
2024 J jnl
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models.
CoRR
Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng
2024 J jnl
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
CoRR
Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li
2024 A* conf
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
ICLR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
2024 A* conf
Matryoshka Query Transformer for Large Vision-Language Models.
NeurIPS
Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang
2024 J jnl
Matryoshka Query Transformer for Large Vision-Language Models.
CoRR
Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang
2024 — conf
Medical Vision-Language Pre-Training for Brain Abnormalities.
LREC/COLING
Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang
2024 J jnl
Medical Vision-Language Pre-Training for Brain Abnormalities.
CoRR
Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang
2024 — conf
MetaKP: On-Demand Keyphrase Generation.
EMNLP (Findings)
Di Wu, Xiaoxian Shen, Kai-Wei Chang
2024 J jnl
MetaKP: On-Demand Keyphrase Generation.
CoRR
Di Wu, Xiaoxian Shen, Kai-Wei Chang
2024 — conf
Mitigating Bias for Question Answering Models by Tracking Bias Influence.
NAACL-HLT
Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Model Editing Can Hurt General Abilities of Large Language Models.
CoRR
Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng
2024 A* conf
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue.
EMNLP
Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng
2024 J jnl
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
CoRR
Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024 — conf
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation.
LREC/COLING
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
2024 J jnl
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation.
CoRR
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
2024 A* conf
On Prompt-Driven Safeguarding for Large Language Models.
ICML
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 — conf
Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems.
SLT
Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-yi Lee
2024 A* conf
Position: TrustLLM: Trustworthiness in Large Language Models.
ICML
Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024 — ed.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, NAACL 2024, Mexico City, Mexico, June 16-21, 2024
NAACL (Demonstrations)
Kai-Wei Chang, Annie Lee, Nazneen Rajani
2024 J jnl
Prompt-Driven LLM Safeguarding via Directed Representation Optimization.
CoRR
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng
2024 A* conf
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing.
EMNLP
Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng
2024 J jnl
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing.
CoRR
Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng
2024 A* conf
Re-ReST: Reflection-Reinforced Self-Training for Language Agents.
EMNLP
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Red Teaming Language Model Detectors with Language Models.
Trans. Assoc. Comput. Linguistics
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh
2024 J jnl
Reflection-Reinforced Self-Training for Language Agents.
CoRR
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng
2024 A* conf
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness.
EMNLP
Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng
2024 J jnl
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness.
CoRR
Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng
2024 J jnl
STIV: Scalable Text and Image Conditioned Video Generation.
CoRR
Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang
2024 A* conf
SafeWorld: Geo-Diverse Safety Alignment.
NeurIPS
Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng
2024 J jnl
SafeWorld: Geo-Diverse Safety Alignment.
CoRR
Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
CoRR
Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck
2024 J jnl
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation.
CoRR
Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Lingjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Yingnian Wu, Lijuan Wang
2024 J jnl
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval.
CoRR
Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk
2024 J jnl
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks.
CoRR
Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-wen Li, Hung-yi Lee
2024 J jnl
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.
CoRR
Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang
2024 A* conf
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
EMNLP
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang
2024 J jnl
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation.
CoRR
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang
2024 J jnl
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation.
CoRR
Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang
2024 — conf
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.
ACL (Findings)
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
2024 A* conf
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.
EMNLP
Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang
2024 J jnl
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention.
CoRR
Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang
2024 — conf
The Hard Positive Truth About Vision-Language Compositionality.
ECCV (14)
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna
2024 J jnl
The Hard Positive Truth about Vision-Language Compositionality.
CoRR
Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna
2024 J jnl
The Male CEO and the Female Assistant: Probing Gender Biases in Text-To-Image Models Through Paired Stereotype Test.
CoRR
Yixin Wan, Kai-Wei Chang
2024 — conf
The steerability of large language models toward data-driven personas.
NAACL-HLT
Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2024 J jnl
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization.
CoRR
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Naifan Cheung, Nanyun Peng, Kai-Wei Chang
2024 — conf
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies.
NAACL-HLT (Findings)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta
2024 J jnl
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation.
CoRR
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, Wenting Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou
2024 J jnl
Towards audio language modeling - an overview.
CoRR
Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee
2024 J jnl
Tree-managed network ensembles for video prediction.
Mach. Vis. Appl.
Everett Fall, Kai-Wei Chang, Liang-Gee Chen
2024 — conf
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
ACL (1)
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs.
CoRR
Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2024 J jnl
TrustLLM: Trustworthiness in Large Language Models.
CoRR
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
2024 — conf
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis.
EACL (Findings)
Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang
2024 J jnl
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate.
CoRR
Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong
2024 — conf
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs.
EMNLP (Findings)
Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang
2024 J jnl
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs.
CoRR
Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang
2024 J jnl
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning.
CoRR
Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng
2024 J jnl
Verbalized Representation Learning for Interpretable Few-Shot Generalization.
CoRR
Cheng-Fu Yang, Da Yin, Wenbo Hu, Nanyun Peng, Bolei Zhou, Kai-Wei Chang
2024 A* conf
VideoCon: Robust Video-Language Alignment via Contrast Captions.
CVPR
Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover
2024 J jnl
VideoPhy: Evaluating Physical Commonsense for Video Generation.
CoRR
Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover
2024 J jnl
Vulnerability of LLMs to Vertically Aligned Text Manipulations.
CoRR
Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang
2024 J jnl
White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency.
CoRR
Yixin Wan, Kai-Wei Chang
2023 — conf
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
FAccT
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 J jnl
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation.
CoRR
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 — conf
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters.
EMNLP (Findings)
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng
2023 J jnl
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters.
CoRR
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng
2023 A* conf
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints.
NeurIPS
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
A Reevaluation of Event Extraction: Past, Present, and Future Challenges.
CoRR
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
2023 — conf
A Survey of Deep Learning for Mathematical Reasoning.
ACL (1)
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
2023 A conf
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression.
INTERSPEECH
Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu
2023 J jnl
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression.
CoRR
Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu
2023 — conf
AVATAR: A Parallel Corpus for Java-Python Program Translation.
ACL (Findings)
Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
2023 A* conf
AVIS: Autonomous Visual Information Seeking with Large Language Model Agent.
NeurIPS
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David Ross, Cordelia Schmid, Alireza Fathi
2023 J jnl
AVIS: Autonomous Visual Information Seeking with Large Language Models.
CoRR
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi
2023 A* conf
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
EMNLP
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
2023 J jnl
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.
CoRR
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
2023 J jnl
An Exploration of In-Context Learning for Speech Language Model.
CoRR
Ming-Hao Hsu, Kai-Wei Chang, Shang-wen Li, Hung-yi Lee
2023 — conf
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.
EMNLP (Findings)
Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang
2023 J jnl
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems.
CoRR
Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang
2023 J jnl
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity.
CoRR
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023 A* conf
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
NeurIPS
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
2023 J jnl
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.
CoRR
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
2023 J jnl
ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery.
CoRR
Anaelia Ovalle, Mehrab Beikzadeh, Parshan Teimouri, Kai-Wei Chang, Majid Sarrafzadeh
2023 A* conf
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.
ICCV
Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang
2023 J jnl
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning.
CoRR
Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang
2023 J jnl
CoBIT: A Contrastive Bi-directional Image-Text Generation Model.
CoRR
Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu
2023 J jnl
Contextual Label Projection for Cross-Lingual Structure Extraction.
CoRR
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2023 — conf
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.
EMNLP (Findings)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
2023 J jnl
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond.
CoRR
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
2023 A* conf
DesCo: Learning Object Recognition with Rich Language Descriptions.
NeurIPS
Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang
2023 J jnl
DesCo: Learning Object Recognition with Rich Language Descriptions.
CoRR
Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang
2023 — conf
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment?
BEA@ACL
Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai
2023 A* conf
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
ICLR
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
2023 J jnl
Dynamic-SUPERB: Towards A Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark for Speech.
CoRR
Chien-yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-yi Lee
2023 A* conf
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
EMNLP
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
2023 J jnl
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation.
CoRR
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
2023 — conf
Efficient Shapley Values Estimation by Amortization for Text Classification.
ACL (1)
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
2023 J jnl
Efficient Shapley Values Estimation by Amortization for Text Classification.
CoRR
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
2023 — conf
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations.
ACL (Findings)
Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang
2023 Misc conf
Ensemble Knowledge Distillation of Self-Supervised Speech Models.
ICASSP
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-yi Lee
2023 J jnl
Ensemble knowledge distillation of self-supervised speech models.
CoRR
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-yi Lee
2023 J jnl
FLIRT: Feedback Loop In-context Red Teaming.
CoRR
Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 C conf
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness.
AIES
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
2023 J jnl
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness.
CoRR
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
2023 — conf
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles.
ACL (1)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2023 A* conf
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods.
CVPR
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
2023 J jnl
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods.
CoRR
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
2023 — conf
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models.
EMNLP (Findings)
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang
2023 J jnl
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models.
CoRR
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang
2023 A conf
Incorporating Fairness in Large Scale NLU Systems.
WSDM
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
2023 — conf
Indirectly Supervised Natural Language Processing.
ACL (tutorial)
Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth
2023 J jnl
JAB: Joint Adversarial Prompting and Belief Augmentation.
CoRR
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
2023 J jnl
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems.
CoRR
Di Wu, Da Yin, Kai-Wei Chang
2023 A* conf
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following.
EMNLP
Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang
2023 J jnl
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following.
CoRR
Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang
2023 J jnl
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs.
CoRR
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
2023 J jnl
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models.
CoRR
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
2023 — conf
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models.
ACL (2)
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang
2023 J jnl
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models.
CoRR
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin F. Yang, Kai-Wei Chang
2023 J jnl
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models.
CoRR
Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee
2023 C conf
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models.
ASRU
Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee
2023 J jnl
Mitigating Bias for Question Answering Models by Tracking Bias Influence.
CoRR
Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng
2023 A* conf
On the Paradox of Learning to Reason from Data.
IJCAI
Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
On the steerability of large language models toward data-driven personas.
CoRR
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
2023 — conf
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.
ACL (Findings)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
2023 J jnl
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.
CoRR
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
2023 — conf
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English.
ACL (2)
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2023 — conf
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
ACL (1)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 J jnl
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation.
CoRR
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
2023 J jnl
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty.
CoRR
Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao
2023 C conf
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model.
ASRU
Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-yu Huang, Shang-wen Li, Hung-yi Lee
2023 J jnl
Prompting and Adapter Tuning for Self-supervised Encoder-Decoder Speech Model.
CoRR
Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-yu Huang, Shang-wen Li, Hung-yi Lee
2023 J jnl
Red Teaming Language Model Detectors with Language Models.
CoRR
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh
2023 — conf
Resolving Ambiguities in Text-to-Image Generative Models.
ACL (1)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2023 A* conf
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models.
EMNLP
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
2023 J jnl
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models.
CoRR
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
2023 A conf
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies.
EACL
Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2023 A* conf
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
CVPR
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
2023 — conf
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.
IJCNLP (2)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
2023 J jnl
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.
CoRR
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
2023 — ch.
Semantic Loss Functions for Neuro-Symbolic Structured Prediction.
Compendium of Neurosymbolic Artificial Intelligence
Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck
2023 C conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeSy
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2023 A conf
Semantic Strengthening of Neuro-Symbolic Learning.
AISTATS
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
Semantic Strengthening of Neuro-Symbolic Learning.
CoRR
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
2023 J jnl
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts.
CoRR
Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee
2023 J jnl
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks.
CoRR
Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-wen Li, Hung-yi Lee
2023 A conf
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.
EACL
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2023 — conf
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step.
ACL (1)
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
2023 J jnl
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step.
CoRR
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
2023 — conf
TAGPRIME: A Unified Framework for Relational Structure Extraction.
ACL (1)
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2023 J jnl
Text encoders are performance bottlenecks in contrastive vision-language models.
CoRR
Amita Kamath, Jack Hessel, Kai-Wei Chang
2023 A* conf
Text encoders bottleneck compositionality in contrastive vision-language models.
EMNLP
Amita Kamath, Jack Hessel, Kai-Wei Chang
2023 — conf
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks.
ACL (2)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
2023 C conf
Towards General-Purpose Text-Instruction-Guided Voice Conversion.
ASRU
Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-yi Lee
2023 J jnl
Towards General-Purpose Text-Instruction-Guided Voice Conversion.
CoRR
Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-yi Lee
2023 J jnl
Understanding and Mitigating Spurious Correlations in Text Classification.
CoRR
Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin
2023 — conf
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.
ACL (Findings)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
2023 J jnl
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding.
CoRR
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
2023 J jnl
VideoCon: Robust Video-Language Alignment via Contrast Captions.
CoRR
Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover
2023 A* conf
What's "up" with vision-language models? Investigating their struggle with spatial reasoning.
EMNLP
Amita Kamath, Jack Hessel, Kai-Wei Chang
2023 J jnl
What's "up" with vision-language models? Investigating their struggle with spatial reasoning.
CoRR
Amita Kamath, Jack Hessel, Kai-Wei Chang
2023 J jnl
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts.
CoRR
Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang
2022 J jnl
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.
CoRR
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
A Survey of Deep Learning for Mathematical Reasoning.
CoRR
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
2022 J jnl
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models.
CoRR
Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao
2022 A* conf
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation.
EMNLP
Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang
2022 J jnl
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation.
CoRR
Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang
2022 — conf
An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
SLT
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022 J jnl
An Analysis of the Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation.
CoRR
Jwala Dhamala, Varun Kumar, Rahul Gupta, Kai-Wei Chang, Aram Galstyan
2022 A conf
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks.
INTERSPEECH
Kai-Wei Chang, Wei-Cheng Tseng, Shang-wen Li, Hung-yi Lee
2022 J jnl
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks.
CoRR
Kai-Wei Chang, Wei-Cheng Tseng, Shang-wen Li, Hung-yi Lee
2022 J jnl
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN.
CoRR
Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang
2022 — conf
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.
MICCAI (5)
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang
2022 — conf
Conditional Supervised Contrastive Learning for Fair Text Classification.
EMNLP (Findings)
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
2022 J jnl
Conditional Supervised Contrastive Learning for Fair Text Classification.
CoRR
Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian
2022 A* conf
Controllable Text Generation with Neurally-Decomposed Oracle.
NeurIPS
Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang
2022 J jnl
Controllable Text Generation with Neurally-Decomposed Oracle.
CoRR
Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang
2022 — conf
DEGREE: A Data-Efficient Generation-Based Event Extraction Model.
NAACL-HLT
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation.
CoRR
Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang
2022 J jnl
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning.
CoRR
Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
2022 A* conf
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering.
EMNLP
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 J jnl
Empowering Language Models with Knowledge Graph Reasoning for Question Answering.
CoRR
Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun
2022 — conf
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding.
EMNLP (Findings)
Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang
2022 J jnl
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding.
CoRR
Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang
2022 J jnl
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.
CoRR
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
2022 A* conf
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.
EMNLP
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
2022 J jnl
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models.
CoRR
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang
2022 A* conf
Grounded Language-Image Pre-training.
CVPR
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2022 A* conf
How Much Can CLIP Benefit Vision-and-Language Tasks?
ICLR
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
2022 A* conf
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
EMNLP
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
2022 J jnl
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions?
CoRR
Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang
2022 — conf
Improving the Adversarial Robustness of NLP Models by Information Bottleneck.
ACL (Findings)
Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh
2022 J jnl
Improving the Adversarial Robustness of NLP Models by Information Bottleneck.
CoRR
Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh
2022 — conf
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.
EMNLP (Findings)
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
2022 J jnl
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers.
CoRR
Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang
2022 J jnl
Is the Elephant Flying? Resolving Ambiguities in Text-to-Image Generative Models.
CoRR
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
2022 A* conf
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
NeurIPS
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 J jnl
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
CoRR
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan
2022 J jnl
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier.
CoRR
Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C.-C. Jay Kuo, Iacopo Masi
2022 — conf
Measuring Fairness of Text Classifiers via Prediction Sensitivity.
ACL (1)
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022 J jnl
Measuring Fairness of Text Classifiers via Prediction Sensitivity.
CoRR
Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang
2022 — conf
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
ACL (Findings)
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022 J jnl
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal.
CoRR
Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan
2022 — conf
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.
ACL (1)
Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.
CoRR
Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
2022 J jnl
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks.
CoRR
Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan
2022 J jnl
Neuro-Symbolic Entropy Regularization.
CoRR
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2022 A conf
Neuro-symbolic entropy regularization.
UAI
Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck
2022 — conf
On Measures of Biases and Harms in NLP.
AACL/IJCNLP (Findings)
Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
2022 A* conf
On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs.
NeurIPS
Arjun Subramonian, Kai-Wei Chang, Yizhou Sun
2022 — conf
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
ACL (2)
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022 J jnl
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations.
CoRR
Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan
2022 J jnl
On the Paradox of Learning to Reason from Data.
CoRR
Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck
2022 — conf
On the Sensitivity and Stability of Model Interpretations in NLP.
ACL (1)
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang
2022 J jnl
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English.
CoRR
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2022 A* conf
PYLON: A PyTorch Framework for Learning with Constraints.
AAAI
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2022 J jnl
Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study.
CoRR
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
2022 J jnl
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory.
CoRR
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
2022 — conf
Representation Learning for Resource-Constrained Keyphrase Generation.
EMNLP (Findings)
Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang
2022 J jnl
Representation Learning for Resource-Constrained Keyphrase Generation.
CoRR
Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang
2022 J jnl
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies.
CoRR
Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
2022 A* conf
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning.
AAAI
Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang
2022 J jnl
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning.
CoRR
Tzu-hsun Feng, Shuyan Annie Dong, Ching-Feng Yeh, Shu-Wen Yang, Tzu-Quan Lin, Jiatong Shi, Kai-Wei Chang, Zili Huang, Haibin Wu, Xuankai Chang, Shinji Watanabe, Abdelrahman Mohamed, Shang-wen Li, Hung-yi Lee
2022 A* conf
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
NeurIPS
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2022 J jnl
Semantic Probabilistic Layers for Neuro-Symbolic Learning.
CoRR
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
2022 — conf
Socially Aware Bias Measurements for Hindi Language Representations.
NAACL-HLT
Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
2022 J jnl
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2022 — conf
Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning.
SLT
Tzu-hsun Feng, Shuyan Annie Dong, Ching-Feng Yeh, Shu-Wen Yang, Tzu-Quan Lin, Jiatong Shi, Kai-Wei Chang, Zili Huang, Haibin Wu, Xuankai Chang, Shinji Watanabe, Abdelrahman Mohamed, Shang-wen Li, Hung-yi Lee
2022 J jnl
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks.
CoRR
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
2022 Misc conf
Toward Degradation-Robust Voice Conversion.
ICASSP
Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee
2022 — conf
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples.
ACL (Findings)
Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
2022 A* conf
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense.
EMNLP
Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang
2022 J jnl
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense.
CoRR
Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang
2022 — conf
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
EMNLP (Findings)
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2022 J jnl
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.
CoRR
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
2022 J jnl
Watermarking Pre-trained Language Models with Backdooring.
CoRR
Chenxi Gu, Chengsong Huang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh
2022 — conf
Weight Perturbation as Defense against Adversarial Word Substitutions.
EMNLP (Findings)
Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang
2021 — conf
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses.
NAACL-HLT
Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng
2021 J jnl
AVATAR: A Parallel Corpus for Java-Python Program Translation.
CoRR
Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
2021 — conf
Adapting Coreference Resolution for Processing Violent Death Narratives.
NAACL-HLT
Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang
2021 J jnl
Adapting Coreference Resolution for Processing Violent Death Narratives.
CoRR
Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang
2021 A* conf
An Integer Linear Programming Framework for Mining Constraints from Data.
ICML
Tao Meng, Kai-Wei Chang
2021 — conf
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.
ICCVW
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang
2021 J jnl
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis.
CoRR
Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang
2021 — conf
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.
FAccT
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021 J jnl
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation.
CoRR
Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta
2021 — conf
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.
EMNLP (1)
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
2021 J jnl
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning.
CoRR
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang
2021 A* conf
CREATe: Clinical Report Extraction and Annotation Technology.
ICDE
Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 J jnl
CREATe: Clinical Report Extraction and Annotation Technology.
CoRR
Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 J jnl
Clinical Named Entity Recognition using Contextualized Token Representations.
CoRR
Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang
2021 A* conf
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
AAAI
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2021 — conf
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble.
ACL/IJCNLP (1)
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
2021 — conf
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.
NAACL-HLT
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.
CoRR
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
2021 — conf
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.
ACL/IJCNLP (Findings)
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021 J jnl
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification.
CoRR
Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang
2021 — conf
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.
NAACL-HLT
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 J jnl
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation.
CoRR
Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 — conf
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
ACL/IJCNLP (Findings)
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
2021 J jnl
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?
CoRR
Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang
2021 — conf
Evaluating the Values of Sources in Transfer Learning.
NAACL-HLT
Md. Rizwan Parvez, Kai-Wei Chang
2021 J jnl
Evaluating the Values of Sources in Transfer Learning.
CoRR
Md. Rizwan Parvez, Kai-Wei Chang
2021 J jnl
Event Extraction as Natural Language Generation.
CoRR
I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
2021 A* conf
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction.
AAAI
Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2021 A conf
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.
EACL
Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.
CoRR
Kuan-Hao Huang, Kai-Wei Chang
2021 J jnl
Grounded Language-Image Pre-training.
CoRR
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2021 — conf
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
EMNLP (1)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021 J jnl
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies.
CoRR
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
2021 J jnl
How Much Can CLIP Benefit Vision-and-Language Tasks?
CoRR
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
2021 — conf
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.
EMNLP (1)
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2021 J jnl
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.
CoRR
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2021 J jnl
Integrating topic modeling and word embedding to characterize violent deaths.
CoRR
Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster
2021 — conf
Intent Classification and Slot Filling for Privacy Policies.
ACL/IJCNLP (1)
Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
2021 J jnl
Intent Classification and Slot Filling for Privacy Policies.
CoRR
Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang
2021 J jnl
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction.
CoRR
Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang
2021 J jnl
On the Faithfulness Measurements for Model Interpretations.
CoRR
Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang
2021 — conf
On the Transferability of Adversarial Attacks against Neural Text Classifier.
EMNLP (1)
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang
2021 — conf
Pylon: A PyTorch Framework for Learning with Constraints.
NeurIPS (Competition and Demos)
Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh
2021 — conf
Relation-Guided Pre-Training for Open-Domain Question Answering.
EMNLP (Findings)
Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2021 J jnl
Relation-Guided Pre-Training for Open-Domain Question Answering.
CoRR
Ziniu Hu, Yizhou Sun, Kai-Wei Chang
2021 — conf
Retrieval Augmented Code Generation and Summarization.
EMNLP (Findings)
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
Retrieval Augmented Code Generation and Summarization.
CoRR
Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
Revealing Persona Biases in Dialogue Systems.
CoRR
Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng
2021 — conf
Robustness and Adversarial Examples in Natural Language Processing.
EMNLP (Tutorial Abstracts)
Kai-Wei Chang, He He, Robin Jia, Sameer Singh
2021 J jnl
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning.
CoRR
Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang
2021 — conf
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.
EMNLP (1)
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 J jnl
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.
CoRR
Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh
2021 — conf
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention.
ACL/IJCNLP (1)
Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang
2021 J jnl
Socially Aware Bias Measurements for Hindi Language Representations.
CoRR
Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
2021 — conf
Societal Biases in Language Generation: Progress and Challenges.
ACL/IJCNLP (1)
Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng
2021 J jnl
Societal Biases in Language Generation: Progress and Challenges.
CoRR
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2021 J jnl
SpeechNet: A Universal Modularized Model for Speech Processing Tasks.
CoRR
Yi-Chen Chen, Po-Han Chi, Shu-Wen Yang, Kai-Wei Chang, Jheng-Hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee
2021 — conf
Syntax-augmented Multilingual BERT for Cross-lingual Transfer.
ACL/IJCNLP (1)
Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad
2021 J jnl
Syntax-augmented Multilingual BERT for Cross-lingual Transfer.
CoRR
Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad
2021 J jnl
Toward Degradation-Robust Voice Conversion.
CoRR
Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee
2021 — conf
Unified Pre-training for Program Understanding and Generation.
NAACL-HLT
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 J jnl
Unified Pre-training for Program Understanding and Generation.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2021 — conf
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions.
NAACL-HLT
Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang
2021 J jnl
What do Bias Measures Measure?
CoRR
Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang
2020 J jnl
"Nice Try, Kiddo": Ad Hominems in Dialogue Systems.
CoRR
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2020 A* conf
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.
ACL
Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
2020 J jnl
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.
CoRR
Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang
2020 A* conf
A Transformer-based Approach for Source Code Summarization.
ACL
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2020 J jnl
A Transformer-based Approach for Source Code Summarization.
CoRR
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2020 J jnl
An Integer Linear Programming Framework for Mining Constraints from Data.
CoRR
Tao Meng, Kai-Wei Chang
2020 A* conf
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond.
NeurIPS
Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020 J jnl
Automatic Perturbation Analysis on General Computational Graphs.
CoRR
Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh
2020 J jnl
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference.
CoRR
Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang
2020 — conf
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering.
EMNLP (Findings)
Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang
2020 J jnl
Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble.
CoRR
Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
2020 J jnl
Distributed block-diagonal approximation methods for regularized empirical risk minimization.
Mach. Learn.
Ching-pei Lee, Kai-Wei Chang
2020 — conf
Dynamically Expanded CNN Array for Video Coding.
ICIGP
Everett Fall, Kai-Wei Chang, Liang-Gee Chen
2020 J jnl
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction.
CoRR
Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
2020 A* conf
GPT-GNN: Generative Pre-Training of Graph Neural Networks.
KDD
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
2020 J jnl
GPT-GNN: Generative Pre-Training of Graph Neural Networks.
CoRR
Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun
2020 A* conf
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.
ACL
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah
2020 J jnl
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer.
CoRR
Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah
2020 — conf
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization.
AACL/IJCNLP
Kuan-Hao Huang, Chen Li, Kai-Wei Chang
2020 J jnl
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models.
CoRR
Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang
2020 — conf
LOGAN: Local Group Bias Detection by Clustering.
EMNLP (1)
Jieyu Zhao, Kai-Wei Chang
2020 J jnl
LOGAN: Local Group Bias Detection by Clustering.
CoRR
Jieyu Zhao, Kai-Wei Chang
2020 A* conf
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract).
AAAI
Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang
2020 A* conf
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization.
ACL
Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang
2020 J jnl
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization.
CoRR
Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang
2020 A* conf
On the Robustness of Language Encoders against Grammatical Errors.
ACL
Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang
2020 J jnl
On the Robustness of Language Encoders against Grammatical Errors.
CoRR
Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang
2020 — conf
PolicyQA: A Reading Comprehension Dataset for Privacy Policies.
EMNLP (Findings)
Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
2020 J jnl
PolicyQA: A Reading Comprehension Dataset for Privacy Policies.
CoRR
Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang
2020 A* conf
Robustness Verification for Transformers.
ICLR
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
2020 J jnl
Robustness Verification for Transformers.
CoRR
Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh
2020 J jnl
Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance.
CoRR
Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang
2020 A* conf
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics.
ACL
Da Yin, Tao Meng, Kai-Wei Chang
2020 J jnl
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics.
CoRR
Da Yin, Tao Meng, Kai-Wei Chang
2020 — conf
Towards Controllable Biases in Language Generation.
EMNLP (Findings)
Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng
2020 J jnl
Towards Controllable Biases in Language Generation.
CoRR
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2020 A* conf
Towards Understanding Gender Bias in Relation Extraction.
ACL
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang
2020 J jnl
Weakly-supervised VisualBERT: Pre-training without Parallel Images and Captions.
CoRR
Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang
2020 A* conf
What Does BERT with Vision Look At?
ACL
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
2020 J jnl
XAlgo: Explaining the Internal States of Algorithms via Question Answering.
CoRR
Juan Carlo Rebanal, Yuqi Tang, Jordan Combitsis, Kai-Wei Chang, Xiang 'Anthony' Chen
2019 A* conf
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.
ICCV
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
2019 — conf
Bias and Fairness in Natural Language Processing.
EMNLP/IJCNLP (2)
Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez
2019 — conf
Computational Analysis of French Reborrowing Process for English Loanwords.
ICDM Workshops
Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang
2019 A* conf
Context Attentive Document Ranking and Query Suggestion.
SIGIR
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
2019 J jnl
Context Attentive Document Ranking and Query Suggestion.
CoRR
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
2019 B conf
Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages.
CoNLL
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng
2019 J jnl
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages.
CoRR
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng
2019 J jnl
Dynamically Expanded CNN Array for Video Coding.
CoRR
Everett Fall, Kai-Wei Chang, Liang-Gee Chen
2019 J jnl
Efficient Contextual Representation Learning With Continuous Outputs.
Trans. Assoc. Comput. Linguistics
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang
2019 J jnl
Efficient Contextual Representation Learning Without Softmax Layer.
CoRR
Liunian Harold Li, Patrick H. Chen, Cho-Jui Hsieh, Kai-Wei Chang
2019 — conf
Examining Gender Bias in Languages with Grammatical Gender.
EMNLP/IJCNLP (1)
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
2019 J jnl
Examining Gender Bias in Languages with Grammatical Gender.
CoRR
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
2019 — conf
Few-Shot Representation Learning for Out-Of-Vocabulary Words.
ACL (1)
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 J jnl
Few-Shot Representation Learning for Out-Of-Vocabulary Words.
CoRR
Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 — conf
Gender Bias in Contextualized Word Embeddings.
NAACL-HLT (1)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
2019 J jnl
Gender Bias in Contextualized Word Embeddings.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
2019 — conf
Learning Bilingual Word Embeddings Using Lexical Definitions.
RepL4NLP@ACL
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
2019 J jnl
Learning Bilingual Word Embeddings Using Lexical Definitions.
CoRR
Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang
2019 — conf
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.
EMNLP/IJCNLP (1)
Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
2019 J jnl
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.
CoRR
Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang
2019 B conf
Learning to Represent Bilingual Dictionaries.
CoNLL
Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
2019 — conf
Mitigating Gender Bias in Natural Language Processing: Literature Review.
ACL (1)
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang
2019 J jnl
Mitigating Gender Bias in Natural Language Processing: Literature Review.
CoRR
Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang
2019 J jnl
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN.
Bioinform.
Muhao Chen, Chelsea J.-T. Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang
2019 — conf
On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing.
NAACL-HLT (1)
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng
2019 J jnl
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction.
CoRR
Ziniu Hu, Changjun Fan, Ting Chen, Kai-Wei Chang, Yizhou Sun
2019 — conf
Retrofitting Contextualized Word Embeddings with Paraphrases.
EMNLP/IJCNLP (1)
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang
2019 J jnl
Retrofitting Contextualized Word Embeddings with Paraphrases.
CoRR
Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang
2019 — conf
Robust Text Classifier on Test-Time Budgets.
EMNLP/IJCNLP (1)
Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama
2019 — conf
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing.
EMNLP/IJCNLP (1)
Tao Meng, Nanyun Peng, Kai-Wei Chang
2019 J jnl
Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing.
CoRR
Tao Meng, Nanyun Peng, Kai-Wei Chang
2019 — conf
The Woman Worked as a Babysitter: On Biases in Language Generation.
EMNLP/IJCNLP (1)
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2019 J jnl
The Woman Worked as a Babysitter: On Biases in Language Generation.
CoRR
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng
2019 J jnl
Towards Understanding Gender Bias in Relation Extraction.
CoRR
Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang
2019 J jnl
VisualBERT: A Simple and Performant Baseline for Vision and Language.
CoRR
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
2019 — conf
Visualizing Trends of Key Roles in News Articles.
EMNLP/IJCNLP (3)
Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang
2019 J jnl
Visualizing Trends of Key Roles in News Articles.
CoRR
Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang
2019 J jnl
Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions.
J. Comput. Biol.
Dat Duong, Wasi Uddin Ahmad, Eleazar Eskin, Kai-Wei Chang, Jingyi Jessica Li
2018 B conf
A Corpus of Drug Usage Guidelines Annotated with Type of Advice.
LREC
Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic
2018 B conf
A Corpus to Learn Refer-to-as Relations for Nominals.
LREC
Wasi Uddin Ahmad, Kai-Wei Chang
2018 J jnl
Adversarial Removal of Gender from Deep Image Representations.
CoRR
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
2018 — conf
Building Language Models for Text with Named Entities.
ACL (1)
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2018 J jnl
Building Language Models for Text with Named Entities.
CoRR
Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
2018 J jnl
Building a Robust Text Classifier on a Test-Time Budget.
CoRR
Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama
2018 A* conf
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment.
IJCAI
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
2018 J jnl
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment.
CoRR
Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
2018 A* conf
Counterexamples for Robotic Planning Explained in Structured Language.
ICRA
Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu
2018 J jnl
Counterexamples for Robotic Planning Explained in Structured Language.
CoRR
Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu
2018 — conf
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
NAACL-HLT (2)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2018 J jnl
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2018 A* conf
Generating Natural Language Adversarial Examples.
EMNLP
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang
2018 J jnl
Generating Natural Language Adversarial Examples.
CoRR
Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang
2018 A* conf
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search.
SIGIR
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
2018 A* conf
Learning Gender-Neutral Word Embeddings.
EMNLP
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
2018 J jnl
Learning Gender-Neutral Word Embeddings.
CoRR
Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang
2018 J jnl
Learning Robust, Transferable Sentence Representations for Text Classification.
CoRR
Wasi Uddin Ahmad, Xueying Bai, Nanyun Peng, Kai-Wei Chang
2018 — conf
Learning Word Embeddings for Low-Resource Languages by PU Learning.
NAACL-HLT
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
2018 J jnl
Learning to Represent Bilingual Dictionaries.
CoRR
Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
2018 J jnl
LearningWord Embeddings for Low-resource Languages by PU Learning.
CoRR
Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang
2018 — conf
Multi-Task Learning for Document Ranking and Query Suggestion.
ICLR (Poster)
Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang
2018 J jnl
Multi-task Learning for Universal Sentence Representations: What Syntactic and Semantic Information is Captured?
CoRR
Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang, Chao Jiang, Nanyun Peng, Kai-Wei Chang
2018 J jnl
Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing.
CoRR
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng
2018 — conf
Quantification and Analysis of Scientific Language Variation Across Research Fields.
ICDM Workshops
Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo
2018 J jnl
Quantification and Analysis of Scientific Language Variation Across Research Fields.
CoRR
Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo
2017 — conf
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.
Rep4NLP@ACL
Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Kalai, James Y. Zou
2017 J jnl
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context.
CoRR
Shyam Upadhyay, Kai-Wei Chang, Matt Taddy, Adam Tauman Kalai, James Y. Zou
2017 — conf
Counterfactual Language Model Adaptation for Suggesting Phrases.
IJCNLP(2)
Kenneth C. Arnold, Kai-Wei Chang, Adam Kalai
2017 J jnl
Counterfactual Language Model Adaptation for Suggesting Phrases.
CoRR
Kenneth C. Arnold, Kai-Wei Chang, Adam Tauman Kalai
2017 — conf
Learning to Suggest Phrases.
AAAI Workshops
Kenneth Charles Arnold, Kai-Wei Chang, Adam Tauman Kalai
2017 A* conf
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
EMNLP
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2017 J jnl
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2017 — ed.
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017
SPNLP@EMNLP
Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush
2017 A* conf
Resource Constrained Structured Prediction.
AAAI
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2016 — conf
A Credit Assignment Compiler for Joint Prediction.
NIPS
Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford
2016 A* conf
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems.
EMNLP
Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih
2016 — conf
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.
NIPS
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016 J jnl
Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings.
CoRR
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Kalai
2016 — ed.
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016
SPNLP@EMNLP
Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar
2016 J jnl
Quantifying and Reducing Stereotypes in Word Embeddings.
CoRR
Tolga Bolukbasi, Kai-Wei Chang, James Y. Zou, Venkatesh Saligrama, Adam Tauman Kalai
2016 J jnl
Structured Prediction with Test-time Budget Constraints.
CoRR
Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama
2015 B conf
A Joint Framework for Coreference Resolution and Mention Head Detection.
CoNLL
Haoruo Peng, Kai-Wei Chang, Dan Roth
2015 J jnl
Distributed Training of Structured SVM.
CoRR
Ching-pei Lee, Kai-Wei Chang, Shyam Upadhyay, Dan Roth
2015 — conf
Hands-on Learning to Search for Structured Prediction.
HLT-NAACL
Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao
2015 J jnl
IllinoisSL: A JAVA Library for Structured Prediction.
CoRR
Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth
2015 J jnl
Learning to Search Better Than Your Teacher.
CoRR
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford
2015 A* conf
Learning to Search Better than Your Teacher.
ICML
Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford
2015 J jnl
Learning to Search for Dependencies.
CoRR
Kai-Wei Chang, He He, Hal Daumé III, John Langford
2015 — —
Selective algorithms for large-scale classification and structured learning
Kai-Wei Chang
2015 A* conf
Structural Learning with Amortized Inference.
AAAI
Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth
2014 A* conf
A Discriminative Latent Variable Model for Online Clustering.
ICML
Rajhans Samdani, Kai-Wei Chang, Dan Roth
2014 — conf
The Illinois-Columbia System in the CoNLL-2014 Shared Task.
CoNLL Shared Task
Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash
2014 A* conf
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction.
EMNLP
Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek
2013 A* conf
A Constrained Latent Variable Model for Coreference Resolution.
EMNLP
Kai-Wei Chang, Rajhans Samdani, Dan Roth
2013 — conf
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
TAC
Xiao Cheng, Bingling Chen, Rajhans Samdani, Kai-Wei Chang, Zhiye Fei, Mark Sammons, John Wieting, Subhro Roy, Chizheng Wang, Dan Roth
2013 A* conf
Multi-Relational Latent Semantic Analysis.
EMNLP
Kai-Wei Chang, Wen-tau Yih, Christopher Meek
2013 — conf
Multi-core Structural SVM Training.
ECML/PKDD (2)
Kai-Wei Chang, Vivek Srikumar, Dan Roth
2013 — conf
The University of Illinois System in the CoNLL-2013 Shared Task.
CoNLL Shared Task
Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth
2013 — conf
Tractable Semi-supervised Learning of Complex Structured Prediction Models.
ECML/PKDD (3)
Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
2012 A* conf
Efficient Pattern-Based Time Series Classification on GPU.
ICDM
Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth
2012 — conf
Illinois-Coref: The UI System in the CoNLL-2012 Shared Task.
EMNLP-CoNLL Shared Task
Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth
2012 J jnl
Large Linear Classification When Data Cannot Fit in Memory.
ACM Trans. Knowl. Discov. Data
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2011 — conf
Inference Protocols for Coreference Resolution.
CoNLL Shared Task
Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth
2011 A* conf
Large Linear Classification When Data Cannot Fit in Memory.
IJCAI
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2011 A* conf
Selective block minimization for faster convergence of limited memory large-scale linear models.
KDD
Kai-Wei Chang, Dan Roth
2011 J jnl
iScreen: world's first cloud-computing web server for virtual screening and de novo drug design based on TCM database@Taiwan.
J. Comput. Aided Mol. Des.
Tsung-Ying Tsai, Kai-Wei Chang, Calvin Yu-Chian Chen
2010 J jnl
A Comparison of Optimization Methods and Software for Large-scale L1-regularized Linear Classification.
J. Mach. Learn. Res.
Guo-Xun Yuan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
2010 J jnl
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy Models
J. Mach. Learn. Res.
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2010 A* conf
Large linear classification when data cannot fit in memory.
KDD
Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2010 J jnl
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM.
J. Mach. Learn. Res.
Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin
2009 — conf
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.
KDD Cup
Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin
2009 — conf
Iterative Scaling and Coordinate Descent Methods for Maximum Entropy.
ACL/IJCNLP (2)
Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin
2008 A* conf
A dual coordinate descent method for large-scale linear SVM.
ICML
Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan
2008 A* conf
A sequential dual method for large scale multi-class linear svms.
KDD
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
2008 J jnl
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines.
J. Mach. Learn. Res.
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
2008 J jnl
LIBLINEAR: A Library for Large Linear Classification.
J. Mach. Learn. Res.
Rong-En Fan, Kai-Wei Chang, Cho-Jui Hsieh, Xiang-Rui Wang, Chih-Jen Lin