Michael Shieh

Publication Activity (10 Years)

Years Active: 2024-2024
Publications (10 Years): 5

Top Topics

Detecting Malicious

Preference Learning

Sampling Strategies

Top Venues

Publications

Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh
Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR (2024)
Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh
Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR (2024)
Do Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
Prompt Optimization via Adversarial In-Context Learning. ACL (1) (2024)
Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
Single Character Perturbations Break LLM Alignment. CoRR (2024)
Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR (2024)