| Glyce: Glyph-vectors for Chinese character representations Y Meng, W Wu, F Wang, X Li, P Nie, F Yin, M Li, Q Han, X Sun, J Li NeurIPS 2019, 2019 | 212 | 2019 |
| CorefQA: Coreference Resolution as Query-based Span Prediction W Wu, F Wang, A Yuan, F Wu, J Li ACL 2020, 2020 | 195* | 2020 |
| Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models J Xu, MD Ma, F Wang, C Xiao, M Chen NAACL 2024, 2023 | 53 | 2023 |
| Retrieving Complex Tables with Multi-Granular Graph Representation Learning F Wang, K Sun, M Chen, J Pujara, P Szekely SIGIR 2021, 2021 | 38 | 2021 |
| Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning F Wang, Z Xu, P Szekely, M Chen NAACL 2022, 2022 | 34 | 2022 |
| Salience Allocation as Guidance for Abstractive Summarization F Wang, K Song, H Zhang, L Jin, S Cho, W Yao, X Wang, M Chen, D Yu EMNLP 2022, 2022 | 21 | 2022 |
| Table-based Fact Verification with Salience-aware Learning F Wang, K Sun, J Pujara, P Szekely, M Chen EMNLP 2021 (Findings), 2021 | 16 | 2021 |
| Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking N Xu, F Wang, B Zhou, BZ Li, C Xiao, M Chen NAACL 2024 (Findings), 2023 | 15 | 2023 |
| A Causal View of Entity Bias in (Large) Language Models F Wang, W Mo, Y Wang, W Zhou, M Chen EMNLP 2023 (Findings), 2023 | 14 | 2023 |
| Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing N Xu, F Wang, B Li, M Dong, M Chen EMNLP 2022, 2022 | 12 | 2022 |
| Instructional Fingerprinting of Large Language Models J Xu, F Wang, MD Ma, PW Koh, C Xiao, M Chen NAACL 2024, 2024 | 7 | 2024 |
| Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality T Dixit, F Wang, M Chen ACL 2023, 2023 | 7 | 2023 |
| Robust Natural Language Understanding with Residual Attention Debiasing F Wang, JY Huang, T Yan, W Zhou, M Chen ACL 2023 (Findings), 2023 | 6 | 2023 |
| From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Q Liu, F Wang, C Xiao, M Chen NAACL 2024, 2023 | 6 | 2023 |
| Offset Unlearning for Large Language Models JY Huang, W Zhou, F Wang, F Morstatter, S Zhang, H Poon, M Chen arXiv preprint arXiv:2404.11045, 2024 | 5 | 2024 |
| Training small multimodal models to bridge biomedical competency gap: A case study in radiology imaging JMZ Chaves, SC Huang, Y Xu, H Xu, N Usuyama, S Zhang, F Wang, ... arXiv preprint arXiv:2403.08002, 2024 | 5 | 2024 |
| Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? B Li, B Zhou, F Wang, X Fu, D Roth, M Chen Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 4* | 2024 |
| Rethinking Tabular Data Understanding with Large Language Models T Liu, F Wang, M Chen NAACL 2024, 2023 | 4 | 2023 |
| Privacy-Preserving Language Model Inference with Instance Obfuscation Y Yao, F Wang, S Ravi, M Chen arXiv preprint arXiv:2402.08227, 2024 | 3 | 2024 |
| Monotonic Paraphrasing Improves Generalization of Language Model Prompting Q Liu, F Wang, N Xu, T Yan, T Meng, M Chen arXiv preprint arXiv:2403.16038, 2024 | 2 | 2024 |
Muhao ChenAssistant Professor of Computer Science, University of California, Davis在 ucdavis.edu 的电子邮件经过验证
