Mitigating Covertly Unsafe Text within Natural Language Systems. - Alex Mei; Anisha Kabir; Sharon Levy; Melanie Subbiah; Emily Allaway; John Judge; Desmond Patton; Bruce Bimber; Kathleen R. McKeown; William Yang Wang (EMNLP (Findings), 2022)

Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization. - Alex Mei; Anisha Kabir; Rukmini Bapat; John Judge; Tony Sun; William Yang Wang (LREC, 2022)

Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI. - Alex Mei; Sharon Levy; William Yang Wang (CoRR, 2022)

Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI. - Alex Mei; Sharon Levy; William Yang Wang (ACL (Findings), 2023)

Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought. - Vaishnavi Himakunthala; Andy Ouyang; Daniel Rose; Ryan He; Alex Mei; Yujie Lu; Chinmay Sonar; Michael Saxon; William Yang Wang (EMNLP, 2023)

ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models. - Alex Mei; Sharon Levy; William Yang Wang (EMNLP (Findings), 2023)

Users are the North Star for AI Transparency. - Alex Mei; Michael Saxon; Shiyu Chang; Zachary C. Lipton; William Yang Wang (CoRR, 2023)

Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. - Daniel Rose; Vaishnavi Himakunthala; Andy Ouyang; Ryan He; Alex Mei; Yujie Lu; Michael Saxon; Chinmay Sonar; Diba Mirza; William Yang Wang (CoRR, 2023)

Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction. - Vaishnavi Himakunthala; Andy Ouyang; Daniel Rose; Ryan He; Alex Mei; Yujie Lu; Chinmay Sonar; Michael Saxon; William Yang Wang (CoRR, 2023)