| Onion: A simple and effective defense against textual backdoor attacks F Qi*, Y Chen*, M Li, Z Liu, M Sun EMNLP, 2021 | 169 | 2021 |
| Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger F Qi*, M Li*, Y Chen*, Z Zhang, Z Liu, Y Wang, M Sun ACL, 2021 | 153 | 2021 |
| Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer F Qi*, Y Chen*, X Zhang, M Li, Z Liu, M Sun EMNLP, 2021 | 109 | 2021 |
| Exploring the Universal Vulnerability of Prompt-based Learning Paradigm L Xu, Y Chen, G Cui, H Gao, Z Liu Findings of NAACL, 2022 | 57 | 2022 |
| MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback X Wang*, Z Wang*, J Liu, Y Chen, L Yuan, H Peng, H Ji ICLR, 2024 | 44 | 2024 |
| A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks G Cui*, L Yuan*, B He, Y Chen, Z Liu, M Sun NeurIPS (Dataset and Benchmark Track), 2022 | 44 | 2022 |
| A Close Look into the Calibration of Pre-trained Language Models Y Chen*, L Yuan*, G Cui, Z Liu, H Ji ACL, 2023 | 34 | 2023 |
| Multi-granularity Textual Adversarial Attack with Behavior Cloning Y Chen*, J Su*, W Wei EMNLP, 2021 | 32 | 2021 |
| Bridge the gap between CV and NLP! a gradient-based textual adversarial attack framework L Yuan*, Y Zhang*, Y Chen, W Wei Findings of ACL, 2023 | 26 | 2023 |
| R-Tuning: Teaching Large Language Models to Refuse Unknown Questions H Zhang*, S Diao*, Y Lin*, YR Fung, Q Lian, X Wang, Y Chen, H Ji, ... NAACL, 2024 | 25 | 2024 |
| Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations L Yuan, Y Chen, G Cui, H Gao, F Zou, X Cheng, H Ji, Z Liu, M Sun NeurIPS (Dataset and Benchmark Track), 2023 | 25 | 2023 |
| Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP Y Chen*, H Gao*, G Cui, F Qi, L Huang, Z Liu, M Sun EMNLP, 2022 | 24 | 2022 |
| CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets L Yuan*, Y Chen*, X Wang, YR Fung, H Peng, H Ji ICLR, 2024 | 21 | 2024 |
| Dress: Instructing large vision-language models to align and interact with humans via natural language feedback Y Chen, K Sikka, M Cogswell, H Ji, A Divakaran CVPR, 2024 | 16 | 2024 |
| Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models B Zhu*, Y Qin*, G Cui, Y Chen, W Zhao, C Fu, Y Deng, Z Liu, J Wang, ... NeurIPS, 2022 | 13 | 2022 |
| Measuring and improving chain-of-thought reasoning in vision-language models Y Chen, K Sikka, M Cogswell, H Ji, A Divakaran NAACL, 2024 | 11 | 2024 |
| Executable code actions elicit better llm agents X Wang, Y Chen, L Yuan, Y Zhang, Y Li, H Peng, H Ji ICML, 2024 | 10 | 2024 |
| Textual Backdoor Attacks Can Be More Harmful via Two Simple Tricks Y Chen*, F Qi*, H Gao, Z Liu, M Sun EMNLP, 2022 | 10 | 2022 |
| Automatic Construction of Sememe Knowledge Bases via Dictionaries F Qi, Y Chen, F Wang, Z Liu, X Chen, M Sun Findings of ACL, 2021 | 7 | 2021 |
| Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge G Liu, X Wang, L Yuan, Y Chen, H Peng arXiv preprint arXiv:2311.09731, 2023 | 4* | 2023 |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
