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ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models
Alex Mei*, Sharon Levy*, William Yang Wang
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing
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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
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
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Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI
Alex Mei*, Sharon Levy*, William Yang Wang
In Findings of the 2023 Conference on Association for Computational Linguistics
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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 McKeown, William Yang Wang
In Findings of the 2022 Conference on Empirical Methods in Natural Language Processing
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Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization
Alex Mei, Anisha Kabir, Rukmini Bapat, John Judge, Tony Sun, William Yang Wang
In Proceedings of the 2022 International Conference on Language Resources and Evaluation
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Unveiling Covert Threats: Towards Physically Safe and Transparent AI Systems
Alex Mei
University of California, Santa Barbara Masters Thesis
As an undergraduate student, I had the wonderful opportunity to learn from graduate and faculty collaborators. As a result, I am eager to mentor passionate individuals. My past and current littos: