Fei Wang

According to our database, Fei Wang authored at least 33 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges.

Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen

CoRR, 2024

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.

Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

CoRR, 2024

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.

Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

FamiCom: Further Demystifying Prompts for Language Models with Task-Agnostic Performance Estimation.

Bangzheng Li, Ben Zhou, Xingyu Fu, Fei Wang, Dan Roth, Muhao Chen

CoRR, 2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.

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

CoRR, 2024

Offset Unlearning for Large Language Models.

James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen

CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.

Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon

CoRR, 2024

From Instructions to Constraints: Language Model Alignment with Automatic Constraint Verification.

Fei Wang, Chao Shang, Sarthak Jain, Shuai Wang, Qiang Ning, Bonan Min, Vittorio Castelli, Yassine Benajiba, Dan Roth

CoRR, 2024

Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking.

Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models.

Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Instructional Fingerprinting of Large Language Models.

Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?

Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models.

Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing.

Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Contrastive Instruction Tuning.

Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Deceiving Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination?

Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen

CoRR, 2023

From Shortcuts to Triggers: Backdoor Defense with Denoised PoE.

Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen

CoRR, 2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.

Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Dense Retrieval as Indirect Supervision for Large-space Decision Making.

Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

A Causal View of Entity Bias in (Large) Language Models.

Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Fragile is Relation Extraction under Entity Replacements?

Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Robust Natural Language Understanding with Residual Attention Debiasing.

Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality.

Tanay Dixit, Fei Wang, Muhao Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.

Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing.

Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Salience Allocation as Guidance for Abstractive Summarization.

Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Retrieving Complex Tables with Multi-Granular Graph Representation Learning.

Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Table-based Fact Verification With Salience-aware Learning.

Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering.

Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

CorefQA: Coreference Resolution as Query-based Span Prediction.

Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Coreference Resolution as Query-based Span Prediction.

Wei Wu, Fei Wang, Arianna Yuan, Fei Wu, Jiwei Li

CoRR, 2019

Glyce: Glyph-vectors for Chinese Character Representations.

Yuxian Meng, Wei Wu, Fei Wang, Xiaoya Li, Ping Nie, Fan Yin, Muyu Li, Qinghong Han, Xiaofei Sun, Jiwei Li

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019