| Few-shot Text Classification with Distributional Signatures Y Bao, M Wu, S Chang, R Barzilay International Conference on Learning Representations, 2020 | 246 | 2020 |
| Deriving Machine Attention from Human Rationales Y Bao, S Chang, M Yu, R Barzilay Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 139 | 2018 |
| H-cot: Hijacking the chain-of-thought safety reasoning mechanism to jailbreak large reasoning models, including openai o1/o3, deepseek-r1, and gemini 2.0 flash thinking M Kuo, J Zhang, A Ding, Q Wang, L DiValentin, Y Bao, W Wei, H Li, ... arXiv preprint arXiv:2502.12893, 2025 | 68 | 2025 |
| Using Machine Learning and Natural Language Processing to Review and Classify the Medical Literature on Cancer Susceptibility Genes Y Bao, Z Deng, Y Wang, H Kim, VD Armengol, F Acevedo, N Ouardaoui, ... JCO clinical cancer informatics 3, 1-9, 2019 | 59 | 2019 |
| Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words Y Bao, S Sivanandan, T Karaletsos International Conference on Learning Representations, 2024 | 53 | 2024 |
| Natural language processing to facilitate breast cancer research and management KS Hughes, J Zhou, Y Bao, P Singh, J Wang, K Yin The breast journal 26 (1), 92-99, 2020 | 52 | 2020 |
| LLM Unlearning via Loss Adjustment with Only Forget Data Y Wang, J Wei, CY Liu, J Pang, Q Liu, AP Shah, Y Bao, Y Liu, W Wei International Conference on Learning Representations, 2025 | 40 | 2025 |
| Validation of a Semiautomated Natural Language Processing–Based Procedure for Meta-Analysis of Cancer Susceptibility Gene Penetrance Z Deng, K Yin, Y Bao, VD Armengol, C Wang, A Tiwari, R Barzilay, ... JCO clinical cancer informatics 3, 1-9, 2019 | 33 | 2019 |
| Hawkes Process Modeling of Adverse Drug Reactions with Longitudinal Observational Data Y Bao, Z Kuang, P Peissig, D Page, R Willett Machine Learning for Healthcare Conference, 177-190, 2017 | 32 | 2017 |
| Predict then interpolate: A simple algorithm to learn stable classifiers Y Bao, S Chang, R Barzilay International Conference on Machine Learning, 640-650, 2021 | 28 | 2021 |
| From Isolated Conversations to Hierarchical Schemas: Dynamic Tree Memory Representation for LLMs A Rezazadeh, Z Li, W Wei, Y Bao International Conference on Learning Representations, 2025 | 26 | 2025 |
| Learning to Split for Automatic Bias Detection Y Bao, R Barzilay arXiv preprint arXiv:2204.13749, 2022 | 23 | 2022 |
| A machine-learning-based drug repurposing approach using baseline regularization Z Kuang, Y Bao, J Thomson, M Caldwell, P Peissig, R Stewart, R Willett, ... Computational Methods for Drug Repurposing, 255-267, 2018 | 22 | 2018 |
| KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse J Yang, B Hou, W Wei, Y Bao, S Chang NeurIPS 2025, 2025 | 20 | 2025 |
| Improving Data Efficiency via Curating LLM-Driven Rating Systems J Pang, J Wei, AP Shah, Z Zhu, Y Wang, C Qian, Y Liu, Y Bao, W Wei International Conference on Learning Representations, 2025 | 19 | 2025 |
| Disease spectrum of breast cancer susceptibility genes J Wang, P Singh, K Yin, J Zhou, Y Bao, M Wu, K Pathak, SK McKinley, ... Frontiers in oncology 11, 663419, 2021 | 17 | 2021 |
| Non-medullary thyroid cancer susceptibility genes: evidence and disease spectrum J Zhou, P Singh, K Yin, J Wang, Y Bao, M Wu, K Pathak, SK McKinley, ... Springer International Publishing, 2021 | 15 | 2021 |
| Disease spectrum of gastric cancer susceptibility genes SK McKinley, P Singh, K Yin, J Wang, J Zhou, Y Bao, M Wu, K Pathak, ... Medical Oncology 38 (5), 46, 2021 | 12 | 2021 |
| Learning Stable Classifiers by Transferring Unstable Features Y Bao, S Chang, R Barzilay International Conference on Machine Learning, 1483-1507, 2022 | 11 | 2022 |
| MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers Z Wang, Q Chang, H Patel, S Biju, CE Wu, Q Liu, A Ding, A Rezazadeh, ... arXiv preprint arXiv:2508.20453, 2025 | 10 | 2025 |
Regina BarzilayProfessor of EECS, MITVerified email at csail.mit.edu
