InstructCoder: Instruction Tuning Large Language Models for Code Editing. - Kaixin Li; Qisheng Hu; James Xu Zhao; Hui Chen; Yuxi Xie; Tiedong Liu; Michael Shieh; Junxian He (ACL (Student Research Workshop), 2024)

Prompt Optimization via Adversarial In-Context Learning. - Do Xuan Long; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Shieh; Junxian He (ACL (1), 2024)

Reasoning Robustness of LLMs to Adversarial Typographical Errors. - Esther Gan; Yiran Zhao 006; Liying Cheng; Yancan Mao; Anirudh Goyal; Kenji Kawaguchi; Min-Yen Kan; Michael Shieh (EMNLP, 2024)

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models. - Hongfu Liu; Yuxi Xie; Ye Wang; Michael Shieh (EMNLP, 2024)

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling. - Yiran Zhao 006; Wenyue Zheng; Tianle Cai; Do Xuan Long; Kenji Kawaguchi; Anirudh Goyal; Michael Qizhe Shieh (NeurIPS, 2024)

Accelerating Greedy Coordinate Gradient via Probe Sampling. - Yiran Zhao 006; Wenyue Zheng; Tianle Cai; Xuan Long Do; Kenji Kawaguchi; Anirudh Goyal; Michael Shieh (CoRR, 2024)

Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning. - Yuxi Xie; Anirudh Goyal; Wenyue Zheng; Min-Yen Kan; Timothy P. Lillicrap; Kenji Kawaguchi; Michael Shieh (CoRR, 2024)

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs. - Hannah Brown; Leon Lin; Kenji Kawaguchi; Michael Shieh (CoRR, 2024)

MixEval-X: Any-to-Any Evaluations from Real-World Data Mixtures. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; Yang You 001; et al. (CoRR, 2024)

Single Character Perturbations Break LLM Alignment. - Leon Lin; Hannah Brown; Kenji Kawaguchi; Michael Shieh (AAAI, 2025)

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron. - Yiran Zhao 006; Wenxuan Zhang 001; Yuxi Xie; Anirudh Goyal; Kenji Kawaguchi; Michael Shieh (ICLR, 2025)

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. - Guanzheng Chen; Xin Li 056; Michael Shieh; Lidong Bing (ICLR, 2025)

MixEval-X: Any-to-any Evaluations from Real-world Data Mixture. - Jinjie Ni; Yifan Song; Deepanway Ghosal; Bo Li; David Junhao Zhang; Xiang Yue; Fuzhao Xue; Yuntian Deng; Zian Zheng 001; Kaichen Zhang; Mahir Shah; Kabir Jain; et al. (ICLR, 2025)

CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases. - Xiangyan Liu; Bo Lan; Zhiyuan Hu; Yang Liu; Zhicheng Zhang; Fei Wang 037; Michael Qizhe Shieh; Wenmeng Zhou (NAACL (Long Papers), 2025)

Long-Context Inference with Retrieval-Augmented Speculative Decoding. - Guanzheng Chen; Qilong Feng; Jinjie Ni; Xin Li 056; Michael Qizhe Shieh (CoRR, 2025)

Unnatural Languages Are Not Bugs but Features for LLMs. - Keyu Duan; Yiran Zhao 006; Zhili Feng; Jinjie Ni; Tianyu Pang; Qian Liu 012; Tianle Cai; Longxu Dou; Kenji Kawaguchi; Anirudh Goyal; J. Zico Kolter; Michael Qizhe Shieh (CoRR, 2025)

Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction. - Ziyao Guo; Kaipeng Zhang; Michael Qizhe Shieh (CoRR, 2025)

Efficient Process Reward Model Training via Active Learning. - Keyu Duan; Zichen Liu; Xin Mao; Tianyu Pang; Changyu Chen; Qiguang Chen; Michael Qizhe Shieh; Longxu Dou (CoRR, 2025)

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation. - Xiangyan Liu; Jinjie Ni; Zijian Wu 003; Chao Du; Longxu Dou; Haonan Wang; Tianyu Pang; Michael Qizhe Shieh (CoRR, 2025)

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis. - Zijian Wu 003; Jinjie Ni; Xiangyan Liu; Zichen Liu; Hang Yan 012; Michael Qizhe Shieh (CoRR, 2025)

The Emergence of Abstract Thought in Large Language Models Beyond Any Language. - Yuxin Chen; Yiran Zhao 006; Yang Zhang; An Zhang 003; Kenji Kawaguchi; Shafiq Joty; Junnan Li 001; Tat-Seng Chua; Michael Qizhe Shieh; Wenxuan Zhang 001 (CoRR, 2025)