Let’s Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought V Himakunthala, A Ouyang, D Rose, R He, A Mei, Y Lu, C Sonar, ... EMNLP 2023 Proceedings, pages 204-219, 2023 | 5* | 2023 |
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models A Mei, S Levy, WY Wang EMNLP 2023 Findings, pages 5831–5847, 2023 | 5 | 2023 |
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings D Rose, V Himakunthala, A Ouyang, R He, A Mei, Y Lu, M Saxon, ... arXiv preprint arXiv:2305.02317, 2023 | 5 | 2023 |
Users are the North Star for AI Transparency A Mei, M Saxon, S Chang, ZC Lipton, WY Wang arXiv preprint arXiv:2303.05500, 2023 | 5 | 2023 |
Mitigating Covertly Unsafe Text within Natural Language Systems A Mei, A Kabir, S Levy, M Subbiah, E Allaway, J Judge, D Patton, ... EMNLP 2022 Findings, pages 2914-2926, 2022 | 5 | 2022 |
Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI A Mei, S Levy, WY Wang ACL 2023 Findings, pages 11021-11036, 2023 | 1 | 2023 |
Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization A Mei, A Kabir, R Bapat, J Judge, T Sun, WY Wang LREC 2022 Proceedings, pages 313-318, 2022 | 1 | 2022 |
Unveiling Covert Threats: Towards Physically Safe and Transparent AI Systems A Mei University of California, Santa Barbara, 2023 | | 2023 |