Tianlu Wang

68 papers A* 10B 1C 1Journal 41Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
ASTRO: Teaching Language Models to Reason by Reflecting and Backtracking In-Context.
CoRR
Joongwon Kim, Anirudh Goyal, Liang Tan, Hannaneh Hajishirzi, Srinivasan Iyer, Tianlu Wang
2025 J jnl
Bridging Offline and Online Reinforcement Learning for LLMs.
CoRR
Jack Lanchantin, Angelica Chen, Janice Lan, Xian Li, Swarnadeep Saha, Tianlu Wang, Jing Xu, Ping Yu, Weizhe Yuan, Jason E. Weston, Sainbayar Sukhbaatar, Ilia Kulikov
2025 J jnl
CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.
CoRR
Ping Yu, Jack Lanchantin, Tianlu Wang, Weizhe Yuan, Olga Golovneva, Ilia Kulikov, Sainbayar Sukhbaatar, Jason Weston, Jing Xu
2025 B conf
Efficient Tool Use with Chain-of-Abstraction Reasoning.
COLING
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2025 J jnl
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense.
CoRR
Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E. Weston, Ping Yu
2025 J jnl
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning.
CoRR
Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason Weston, Ilia Kulikov, Swarnadeep Saha
2025 J jnl
Jointly Reinforcing Diversity and Quality in Language Model Generations.
CoRR
Tianjian Li, Yiming Zhang, Ping Yu, Swarnadeep Saha, Daniel Khashabi, Jason Weston, Jack Lanchantin, Tianlu Wang
2025 A* conf
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge.
ICML
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason E. Weston, Tianlu Wang
2025 J jnl
Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-Judge.
CoRR
Swarnadeep Saha, Xian Li, Marjan Ghazvininejad, Jason Weston, Tianlu Wang
2025 J jnl
Multi-Token Attention.
CoRR
Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar
2025 J jnl
Temperature dependence of dynamic performance of SiC MOSFETs in a half-bridge configuration.
Microelectron. J.
Tianlu Wang, Yu Zhong, Lan Luo, Fanpeng Zeng, Ziang Zhao, Yingxin Cui, Mingsheng Xu, Xiangang Xu, Handoko Linewih, Jisheng Han
2024 J jnl
Calibrate to Discriminate: Improve In-Context Learning with Label-Free Comparative Inference.
CoRR
Wei Cheng, Tianlu Wang, Yanmin Ji, Fan Yang, Keren Tan, Yiyu Zheng
2024 J jnl
Contextual Position Encoding: Learning to Count What's Important.
CoRR
Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar
2024 J jnl
Efficient Tool Use with Chain-of-Abstraction Reasoning.
CoRR
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2024 A* conf
Open-Domain Text Evaluation via Contrastive Distribution Methods.
ICML
Sidi Lu, Hongyi Liu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng
2024 J jnl
SMARTdb: An Integrated Database for Exploring Single-cell Multi-omics Data of Reproductive Medicine.
Genom. Proteom. Bioinform.
Zekai Liu, Zhen Yuan, Yunlei Guo, Ruilin Wang, Yusheng Guan, Zhanglian Wang, Yunan Chen, Tianlu Wang, Meining Jiang, Shuhui Bian
2024 J jnl
Self-Taught Evaluators.
CoRR
Tianlu Wang, Ilia Kulikov, Olga Golovneva, Ping Yu, Weizhe Yuan, Jane Dwivedi-Yu, Richard Yuanzhe Pang, Maryam Fazel-Zarandi, Jason Weston, Xian Li
2024 — conf
The ART of LLM Refinement: Ask, Refine, and Trust.
NAACL-HLT
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2023 — conf
ALERT: Adapt Language Models to Reasoning Tasks.
ACL (1)
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissi, Siddharth Verma, Zhijing Jin, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
2023 A* conf
Gender Biases in Automatic Evaluation Metrics for Image Captioning.
EMNLP
Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng
2023 J jnl
Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.
CoRR
Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng
2023 J jnl
Open-Domain Text Evaluation via Meta Distribution Modeling.
CoRR
Sidi Lu, Asli Celikyilmaz, Tianlu Wang, Nanyun Peng
2023 J jnl
PathFinder: Guided Search over Multi-Step Reasoning Paths.
CoRR
Olga Golovneva, Sean O'Brien, Ramakanth Pasunuru, Tianlu Wang, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
2023 — conf
Prognostic Survival Prediction Model of Non-small Cell Lung Cancer Based on Multimodal Feature Fusion.
ISAIMS
Furong Cai, Ye Wang, Yingguang Hao, Hongyu Wang, Tianlu Wang, Zheng Wang
2023 J jnl
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
CoRR
Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
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
Shepherd: A Critic for Language Model Generation.
CoRR
Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, Sean O'Brien, Ramakanth Pasunuru, Jane Dwivedi-Yu, Olga Golovneva, Luke Zettlemoyer, Maryam Fazel-Zarandi, Asli Celikyilmaz
2023 — conf
TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images.
BIC
Shengbo Huang, Hongyu Wang, Yingguang Hao, Siyu Guo, Ye Wang, Tianlu Wang
2023 J jnl
The ART of LLM Refinement: Ask, Refine, and Trust.
CoRR
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2023 — conf
Understanding In-Context Learning via Supportive Pretraining Data.
ACL (1)
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
2023 J jnl
Understanding In-Context Learning via Supportive Pretraining Data.
CoRR
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang
2023 J jnl
Variation of Gender Biases in Visual Recognition Models Before and After Finetuning.
CoRR
Jaspreet Ranjit, Tianlu Wang, Baishakhi Ray, Vicente Ordonez
2022 J jnl
ALERT: Adapting Language Models to Reasoning Tasks.
CoRR
Ping Yu, Tianlu Wang, Olga Golovneva, Badr AlKhamissy, Gargi Ghosh, Mona T. Diab, Asli Celikyilmaz
2022 — conf
Characterization of Cellular Mechanical Properties Upon Drug Action Using a Dynamical System Model.
ROBIO
Shuang Ma, Chengsen Liu, Zhihua Liu, Xiaofang Zhang, Yuechao Wang, Lianqing Liu, Tianlu Wang, Wenxue Wang
2022 A* conf
Few-shot Learning with Multilingual Generative Language Models.
EMNLP
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2022 — conf
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
NAACL-HLT (Findings)
Tianlu Wang, Rohit Sridhar, Diyi Yang, Xuezhi Wang
2022 J jnl
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.
CoRR
Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, Todor Mihaylov, Daniel Simig, Ping Yu, Kurt Shuster, Tianlu Wang, Qing Liu, Punit Singh Koura, Xian Li, Brian O'Horo, Gabriel Pereyra, Jeff Wang, Christopher Dewan, Asli Celikyilmaz, Luke Zettlemoyer, Ves Stoyanov
2022 J jnl
OPT: Open Pre-trained Transformer Language Models.
CoRR
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, 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 — conf
Text Characterization Toolkit (TCT).
AACL/IJCNLP (System Demonstrations)
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
2022 J jnl
Text Characterization Toolkit.
CoRR
Daniel Simig, Tianlu Wang, Verna Dankers, Peter Henderson, Khuyagbaatar Batsuren, Dieuwke Hupkes, Mona T. Diab
2021 — conf
A New Method for Characterization of Single Cell Using System Identification.
NEMS
Shuang Ma, Wenxue Wang, Yuechao Wang, Lianqing Liu, Tianlu Wang
2021 J jnl
Few-shot Learning with Multilingual Language Models.
CoRR
Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li
2021 A* conf
General Multi-Label Image Classification With Transformers.
CVPR
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2021 J jnl
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.
CoRR
Tianlu Wang, Diyi Yang, Xuezhi Wang
2021 J jnl
The Impact of Traceability on Software Maintenance and Evolution: A Mapping Study.
CoRR
Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar
2021 J jnl
The impact of traceability on software maintenance and evolution: A mapping study.
J. Softw. Evol. Process.
Fangchao Tian, Tianlu Wang, Peng Liang, Chong Wang, Arif Ali Khan, Muhammad Ali Babar
2021 — conf
Visual News: Benchmark and Challenges in News Image Captioning.
EMNLP (1)
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
2020 — conf
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.
EMNLP (1)
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020 J jnl
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation.
CoRR
Tianlu Wang, Xuezhi Wang, Yao Qin, Ben Packer, Kang Li, Jilin Chen, Alex Beutel, Ed H. Chi
2020 A* conf
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.
ACL
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
2020 J jnl
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.
CoRR
Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong
2020 J jnl
General Multi-label Image Classification with Transformers.
CoRR
Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi
2020 J jnl
Ultrasound-Guided Wireless Tubular Robotic Anchoring System.
IEEE Robotics Autom. Lett.
Tianlu Wang, Wenqi Hu, Ziyu Ren, Metin Sitti
2020 J jnl
VisualNews : Benchmark and Challenges in Entity-aware Image Captioning.
CoRR
Fuxiao Liu, Yinghan Wang, Tianlu Wang, Vicente Ordonez
2019 — conf
A Magnetically-Actuated Untethered Jellyfish-Inspired Soft Milliswimmer.
Robotics: Science and Systems
Ziyu Ren, Tianlu Wang, Wenqi Hu, Metin Sitti
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
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
2018 J jnl
Adversarial Removal of Gender from Deep Image Representations.
CoRR
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
2018 A* conf
Feedback-Prop: Convolutional Neural Network Inference Under Partial Evidence.
CVPR
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
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 C conf
What Aspects Do Non-Functional Requirements in App User Reviews Describe? An Exploratory and Comparative Study.
APSEC
Tianlu Wang, Peng Liang, Mengmeng Lu
2017 J jnl
Feedback-prop: Convolutional Neural Network Inference under Partial Evidence.
CoRR
Tianlu Wang, Kota Yamaguchi, Vicente Ordonez
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
2016 — conf
Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.
HLT-NAACL
Boliang Zhang, Xiaoman Pan, Tianlu Wang, Ashish Vaswani, Heng Ji, Kevin Knight, Daniel Marcu