Michael Shieh - RankMe

17 papers A* 6Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	GEM: A Gym for Agentic LLMs. CoRR Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Chuen Yang Beh, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin
2025	A*	`conf`	LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. ICLR Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing
2025	A*	`conf`	MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. ICLR Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Yuntian Deng, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh
2025	A*	`conf`	Single Character Perturbations Break LLM Alignment. AAAI Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh
2025	A*	`conf`	Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. ICLR Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh
2024	J	`jnl`	Accelerating Greedy Coordinate Gradient via Probe Sampling. CoRR Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh
2024	A*	`conf`	Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. EMNLP Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh
2024	J	`jnl`	Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. CoRR Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh
2024	J	`jnl`	CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases. CoRR Xiangyan Liu, Bo Lan, Zhiyuan Hu, Yang Liu, Zhicheng Zhang, Fei Wang, Michael Shieh, Wenmeng Zhou
2024	—	`conf`	InstructCoder: Instruction Tuning Large Language Models for Code Editing. ACL (Student Research Workshop) Kaixin Li, Qisheng Hu, James Xu Zhao, Hui Chen, Yuxi Xie, Tiedong Liu, Michael Shieh, Junxian He
2024	J	`jnl`	MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. CoRR Jinjie Ni, Yifan Song, Deepanway Ghosal, Bo Li, David Junhao Zhang, Xiang Yue, Fuzhao Xue, Zian Zheng, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh
2024	J	`jnl`	Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. CoRR Yuxi Xie, Anirudh Goyal, Wenyue Zheng, Min-Yen Kan, Timothy P. Lillicrap, Kenji Kawaguchi, Michael Shieh
2024	—	`conf`	Prompt Optimization via Adversarial In-Context Learning. ACL (1) Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He
2024	A*	`conf`	Reasoning Robustness of LLMs to Adversarial Typographical Errors. EMNLP Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh
2024	J	`jnl`	Reasoning Robustness of LLMs to Adversarial Typographical Errors. CoRR Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh
2024	J	`jnl`	Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. CoRR Hannah Brown, Leon Lin, Kenji Kawaguchi, Michael Shieh
2024	J	`jnl`	Single Character Perturbations Break LLM Alignment. CoRR Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh