Weijia Shi

119 papers A* 25A 2B 3Journal 72Unranked 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI chatbots in mental Health: How emojis, prompt type, and interactivity shape user perceptions in the United States and China.
Comput. Hum. Behav.
Jihye Lee, Zinan Darren Yang, Weijia Shi, Yan Liu
2026 A conf
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models.
IUI
Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng, Chu Li, Weijia Shi, Yulia Tsvetkov, Jeffrey Heer, Katharina Reinecke
2026 J jnl
MoCo: A One-Stop Shop for Model Collaboration Research.
CoRR
Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang, Zhaoxuan Tan, Jiajie Yan, Zhen Lei, Wenxuan Ding, Weijia Shi, Haojin Wang, Zhenting Qi, Yuru Jiang, Heng Wang, Chengsong Huang, Yu Fei, Jihan Yao, Yilun Du, Luke Zettlemoyer, Yejin Choi, Yulia Tsvetkov
2025 A* conf
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
ICLR
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2025 J jnl
Data Swarms: Optimizable Generation of Synthetic Evaluation Data.
CoRR
Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov
2025 A* conf
Fantastic Copyrighted Beasts and How (Not) to Generate Them.
ICLR
Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson
2025 J jnl
FlexOlmo: Open Language Models for Flexible Data Use.
CoRR
Weijia Shi, Akshita Bhagia, Kevin Farhat, Niklas Muennighoff, Pete Walsh, Jacob Morrison, Dustin Schwenk, Shayne Longpre, Jake Poznanski, Allyson Ettinger, Daogao Liu, Margaret Li, Dirk Groeneveld, Mike Lewis, Wen-tau Yih, Luca Soldaini, Kyle Lo, Noah A. Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, Sewon Min
2025 J jnl
GRACE: Generative Representation Learning via Contrastive Policy Optimization.
CoRR
Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han
2025 J jnl
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.
CoRR
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister
2025 — conf
INT-LLM: Adaptive Path Planner for In-Band Network Telemetry via Large Language Models.
ICIC (15)
Anyi Li, Weijia Shi, Tingting Zhang, Baokang Zhao
2025 J jnl
Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models.
CoRR
Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng, Chu Li, Weijia Shi, Yulia Tsvetkov, Jeffrey Heer, Katharina Reinecke
2025 J jnl
MMTEB: Massive Multilingual Text Embedding Benchmark.
CoRR
Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff
2025 A* conf
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.
ICLR
Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
2025 A* conf
MUSE: Machine Unlearning Six-Way Evaluation for Language Models.
ICLR
Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
2025 A* conf
OLMoE: Open Mixture-of-Experts Language Models.
ICLR
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Evan Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, et al.
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data.
CoRR
Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi
2025 J jnl
Precise Information Control in Long-Form Text Generation.
CoRR
Jacqueline He, Howard Yen, Margaret Li, Shuyue Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei Koh, Luke Zettlemoyer
2025 B conf
ROBIN: A Distributed MARL Approach for Dynamic Bandwidth Optimization in Drone Ad-Hoc Networks.
SMC
Xueyu Sun, Weijia Shi, Baokang Zhao, Huan Zhou, Xuefeng Huang
2025 J jnl
The enduring appeal of Mahjong: Navigating the challenges of AI integration.
Entertain. Comput.
Ruicheng Sha, Weijia Shi
2025 J jnl
UQ: Assessing Language Models on Unsolved Questions.
CoRR
Fan Nie, Ken Ziyu Liu, Zihao Wang, Rui Sun, Wei Liu, Weijia Shi, Huaxiu Yao, Linjun Zhang, Andrew Y. Ng, James Zou, Sanmi Koyejo, Yejin Choi, Percy Liang, Niklas Muennighoff
2025 J jnl
When One LLM Drools, Multi-LLM Collaboration Rules.
CoRR
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov
2025 A* conf
s1: Simple test-time scaling.
EMNLP
Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2025 J jnl
s1: Simple test-time scaling.
CoRR
Niklas Muennighoff, Zitong Yang, Weijia Shi, Xiang Lisa Li, Li Fei-Fei, Hannaneh Hajishirzi, Luke Zettlemoyer, Percy Liang, Emmanuel J. Candès, Tatsunori Hashimoto
2024 J jnl
AI Risk Management Should Incorporate Both Safety and Security.
CoRR
Xiangyu Qi, Yangsibo Huang, Yi Zeng, Edoardo Debenedetti, Jonas Geiping, Luxi He, Kaixuan Huang, Udari Madhushani, Vikash Sehwag, Weijia Shi, Boyi Wei, Tinghao Xie, Danqi Chen, Pin-Yu Chen, Jeffrey Ding, Ruoxi Jia, Jiaqi Ma, Arvind Narayanan, Weijie J. Su, Mengdi Wang, Chaowei Xiao, Bo Li, Dawn Song, Peter Henderson, Prateek Mittal
2024 J jnl
BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval.
CoRR
Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu
2024 A* conf
Detecting Pretraining Data from Large Language Models.
ICLR
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
2024 J jnl
Do Membership Inference Attacks Work on Large Language Models?
CoRR
Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
2024 — conf
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.
ACL (1)
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
2024 J jnl
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration.
CoRR
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov
2024 A* conf
Evaluating Copyright Takedown Methods for Language Models.
NeurIPS
Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson
2024 J jnl
Evaluating Copyright Takedown Methods for Language Models.
CoRR
Boyi Wei, Weijia Shi, Yangsibo Huang, Noah A. Smith, Chiyuan Zhang, Luke Zettlemoyer, Kai Li, Peter Henderson
2024 J jnl
Fantastic Copyrighted Beasts and How (Not) to Generate Them.
CoRR
Luxi He, Yangsibo Huang, Weijia Shi, Tinghao Xie, Haotian Liu, Yue Wang, Luke Zettlemoyer, Chiyuan Zhang, Danqi Chen, Peter Henderson
2024 A* conf
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
ICLR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Wen-tau Yih, Mike Lewis
2024 — conf
Instruction-tuned Language Models are Better Knowledge Learners.
ACL (1)
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodríguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srini Iyer
2024 J jnl
Instruction-tuned Language Models are Better Knowledge Learners.
CoRR
Zhengbao Jiang, Zhiqing Sun, Weijia Shi, Pedro Rodriguez, Chunting Zhou, Graham Neubig, Xi Victoria Lin, Wen-tau Yih, Srinivasan Iyer
2024 A* conf
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models.
ICLR
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2024 J jnl
LMFusion: Adapting Pretrained Language Models for Multimodal Generation.
CoRR
Weijia Shi, Xiaochuang Han, Chunting Zhou, Weixin Liang, Xi Victoria Lin, Luke Zettlemoyer, Lili Yu
2024 A* conf
Lemur: Harmonizing Natural Language and Code for Language Agents.
ICLR
Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
2024 J jnl
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models.
CoRR
Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
2024 J jnl
MUSE: Machine Unlearning Six-Way Evaluation for Language Models.
CoRR
Weijia Shi, Jaechan Lee, Yangsibo Huang, Sadhika Malladi, Jieyu Zhao, Ari Holtzman, Daogao Liu, Luke Zettlemoyer, Noah A. Smith, Chiyuan Zhang
2024 J jnl
Negative Token Merging: Image-based Adversarial Feature Guidance.
CoRR
Jaskirat Singh, Lindsey Li, Weijia Shi, Ranjay Krishna, Yejin Choi, Pang Wei Koh, Michael F. Cohen, Stephen Gould, Liang Zheng, Luke Zettlemoyer
2024 — conf
Not Best but Fair: Achieving a Fair Service Deployment Through Sky Computing for Latency-Sensitive Applications.
ICSOC (2)
Weijia Shi, Baokang Zhao, Huan Zhou
2024 J jnl
OLMoE: Open Mixture-of-Experts Language Models.
CoRR
Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi
2024 J jnl
OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.
CoRR
Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi
2024 J jnl
Predicting vs. Acting: A Trade-off Between World Modeling & Agent Modeling.
CoRR
Margaret Li, Weijia Shi, Artidoro Pagnoni, Peter West, Ari Holtzman
2024 A* conf
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
ICLR
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024 A* conf
RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation.
ICLR
Fangyuan Xu, Weijia Shi, Eunsol Choi
2024 — conf
REPLUG: Retrieval-Augmented Black-Box Language Models.
NAACL-HLT
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Richard James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2024 A* conf
SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore.
ICLR
Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi, Noah A. Smith, Luke Zettlemoyer
2024 A* conf
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.
NeurIPS
Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2024 J jnl
Scaling Retrieval-Based Language Models with a Trillion-Token Datastore.
CoRR
Rulin Shao, Jacqueline He, Akari Asai, Weijia Shi, Tim Dettmers, Sewon Min, Luke Zettlemoyer, Pang Wei Koh
2024 A* conf
Teaching LLMs to Abstain across Languages via Multilingual Feedback.
EMNLP
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
2024 J jnl
Teaching LLMs to Abstain across Languages via Multilingual Feedback.
CoRR
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov
2024 — conf
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.
NAACL (Short Papers)
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih
2024 A* conf
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.
NeurIPS
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
2024 J jnl
Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models.
CoRR
Yushi Hu, Weijia Shi, Xingyu Fu, Dan Roth, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Ranjay Krishna
2023 J jnl
Air-Coupled Ultrasonic Lamb Wave In Situ Stress Measurement Method for Composite Plates.
IEEE Trans. Instrum. Meas.
Bingquan Wang, Weijia Shi, Bo Zhao, Jiubin Tan
2023 J jnl
CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge.
CoRR
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023 J jnl
Detecting Pretraining Data from Large Language Models.
CoRR
Weijia Shi, Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu, Terra Blevins, Danqi Chen, Luke Zettlemoyer
2023 A* conf
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.
NeurIPS
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
2023 J jnl
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.
CoRR
Zeqiu Wu, Yushi Hu, Weijia Shi, Nouha Dziri, Alane Suhr, Prithviraj Ammanabrolu, Noah A. Smith, Mari Ostendorf, Hannaneh Hajishirzi
2023 — conf
Getting MoRE out of Mixture of Language Model Reasoning Experts.
EMNLP (Findings)
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023 J jnl
In-Context Pretraining: Language Modeling Beyond Document Boundaries.
CoRR
Weijia Shi, Sewon Min, Maria Lomeli, Chunting Zhou, Margaret Li, Xi Victoria Lin, Noah A. Smith, Luke Zettlemoyer, Scott Yih, Mike Lewis
2023 J jnl
Lemur: Harmonizing Natural Language and Code for Language Agents.
CoRR
Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu
2023 J jnl
Mixture of Prompt Experts for Generalizable and Interpretable Question Answering.
CoRR
Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber
2023 — conf
Nonparametric Masked Language Modeling.
ACL (Findings)
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2023 — conf
One Embedder, Any Task: Instruction-Finetuned Text Embeddings.
ACL (Findings)
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2023 A* conf
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3.
ICCV
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
2023 J jnl
RA-DIT: Retrieval-Augmented Dual Instruction Tuning.
CoRR
Xi Victoria Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Rich James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
2023 J jnl
RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation.
CoRR
Fangyuan Xu, Weijia Shi, Eunsol Choi
2023 J jnl
REPLUG: Retrieval-Augmented Black-Box Language Models.
CoRR
Weijia Shi, Sewon Min, Michihiro Yasunaga, Minjoon Seo, Rich James, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2023 J jnl
Resolving Knowledge Conflicts in Large Language Models.
CoRR
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov
2023 A* conf
Retrieval-Augmented Multimodal Language Modeling.
ICML
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2023 — conf
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering.
EMNLP (Findings)
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2023 J jnl
Scaling Expert Language Models with Unsupervised Domain Discovery.
CoRR
Suchin Gururangan, Margaret Li, Mike Lewis, Weijia Shi, Tim Althoff, Noah A. Smith, Luke Zettlemoyer
2023 A* conf
Selective Annotation Makes Language Models Better Few-Shot Learners.
ICLR
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
2023 J jnl
Stress Online Monitoring Method Based on Multifrequency SH0 Guided Wave Information Fusion.
IEEE Trans. Instrum. Meas.
Weijia Shi, Jiaxin Li, Sen Deng, Shaokai Wang, Bo Zhao, Jiubin Tan
2023 A* conf
The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing.
KDD
Wenhao Yu, Lingbo Tong, Weijia Shi, Nanyun Peng, Meng Jiang
2023 — conf
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
EMNLP (Findings)
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
2023 J jnl
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.
CoRR
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Scott Wen-tau Yih
2023 J jnl
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models.
CoRR
Yangsibo Huang, Daogao Liu, Zexuan Zhong, Weijia Shi, Yin Tat Lee
2022 A* conf
Nearest Neighbor Zero-Shot Inference.
EMNLP
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
2022 J jnl
Nearest Neighbor Zero-Shot Inference.
CoRR
Weijia Shi, Julian Michael, Suchin Gururangan, Luke Zettlemoyer
2022 J jnl
Nonparametric Masked Language Modeling.
CoRR
Sewon Min, Weijia Shi, Mike Lewis, Xilun Chen, Wen-tau Yih, Hannaneh Hajishirzi, Luke Zettlemoyer
2022 J jnl
One Embedder, Any Task: Instruction-Finetuned Text Embeddings.
CoRR
Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu
2022 J jnl
PromptCap: Prompt-Guided Task-Aware Image Captioning.
CoRR
Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo
2022 J jnl
Retrieval-Augmented Multimodal Language Modeling.
CoRR
Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-tau Yih
2022 J jnl
RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering.
CoRR
Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer
2022 J jnl
Selective Annotation Makes Language Models Better Few-Shot Learners.
CoRR
Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu
2022 J jnl
Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too?
CoRR
Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer
2021 J jnl
An adjustable anti-resonance frequency controller for a dual-stage actuation semi-active vibration isolation system.
Frontiers Inf. Technol. Electron. Eng.
Bo Zhao, Weijia Shi, Bingquan Wang, Jiubin Tan
2021 A conf
Cross-lingual Entity Alignment with Incidental Supervision.
EACL
Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth
2021 J jnl
DESCGEN: A Distantly Supervised Dataset for Generating Abstractive Entity Descriptions.
CoRR
Weijia Shi, Mandar Joshi, Luke Zettlemoyer
2021 — conf
DESCGEN: A Distantly Supervised Datasetfor Generating Entity Descriptions.
ACL/IJCNLP (1)
Weijia Shi, Mandar Joshi, Luke Zettlemoyer
2020 J jnl
Cross-lingual Entity Alignment for Knowledge Graphs with Incidental Supervision from Free Text.
CoRR
Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth
2020 J jnl
Design Challenges for Low-resource Cross-lingual Entity Linking.
CoRR
Xingyu Fu, Weijia Shi, Zian Zhao, Xiaodong Yu, Dan Roth
2020 — conf
Design Challenges in Low-resource Cross-lingual Entity Linking.
EMNLP (1)
Xingyu Fu, Weijia Shi, Xiaodong Yu, Zian Zhao, Dan Roth
2020 A* conf
On Tractable Representations of Binary Neural Networks.
KR
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
2020 J jnl
On Tractable Representations of Binary Neural Networks.
CoRR
Weijia Shi, Andy Shih, Adnan Darwiche, Arthur Choi
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 J jnl
Design and Control of a Dual-Stage Actuation Active Vibration Isolation System.
IEEE Access
Bo Zhao, Weijia Shi, Jiubin Tan
2019 A* conf
Embedding Uncertain Knowledge Graphs.
AAAI
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
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 J jnl
Extending Velocity Sensor Bandwidth by Compensating Temperature Dependency Based on BP Neural Network.
IEEE Access
Bo Zhao, Weijia Shi, Ding Sun, Jiaxin Li, Feng Li, Jiubin Tan
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 J jnl
Pseudo-Full-Bridge Inverter With Soft-Switching Capability for a Quarter-Phase Ultrasonic Motor.
IEEE Trans. Ind. Electron.
Weijia Shi, Bo Zhao, Xue Qi, Yiran Wang, Hui Zhao, Weishan Chen, Jiubin Tan
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
2018 J jnl
Dead-Zone Compensation of an Ultrasonic Motor Using an Adaptive Dither.
IEEE Trans. Ind. Electron.
Weijia Shi, Hui Zhao, Jie Ma, Yu Yao
2018 J jnl
Desired Compensation Adaptive Robust Control of an Active Vibration Isolation System.
Complex.
Bo Zhao, Weijia Shi, Ming Zhang, Jiaxin Li, Feng Li
2018 J jnl
Embedding Uncertain Knowledge Graphs.
CoRR
Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo
2018 J jnl
Six Degrees of Freedom Displacement Measurement System for Wafer Stage Composed of Hall Sensors.
Sensors
Bo Zhao, Weijia Shi, Jiawei Zhang, Ming Zhang, Xue Qi, Jiaxin Li, Feng Li, Jiubin Tan
2017 J jnl
An Optimum-Frequency Tracking Scheme for Ultrasonic Motor.
IEEE Trans. Ind. Electron.
Weijia Shi, Hui Zhao, Jie Ma, Yu Yao
2015 J jnl
Energy-Efficient Resource Management in OFDM-Based Cognitive Radio Networks Under Channel Uncertainty.
IEEE Trans. Commun.
Shaowei Wang, Weijia Shi, Chonggang Wang
2014 B conf
Energy- and spectrum-efficiency tradeoff in OFDM-based cognitive radio systems.
GLOBECOM
Weijia Shi, Shaowei Wang, Dageng Chen
2013 B conf
Energy-efficient resource allocation in cognitive radio systems.
WCNC
Weijia Shi, Shaowei Wang