Michael Shieh

According to our database, Michael Shieh authored at least 21 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

The Emergence of Abstract Thought in Large Language Models Beyond Any Language.

Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang

CoRR, June, 2025

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis.

Zijian Wu, Jinjie Ni, Xiangyan Liu, Zichen Liu, Hang Yan, Michael Qizhe Shieh

CoRR, June, 2025

NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation.

Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh

CoRR, April, 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, April, 2025

Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction.

Ziyao Guo, Kaipeng Zhang, Michael Qizhe Shieh

CoRR, March, 2025

Unnatural Languages Are Not Bugs but Features for LLMs.

Keyu Duan, Yiran Zhao, Zhili Feng, Jinjie Ni, Tianyu Pang, Qian Liu, Tianle Cai, Longxu Dou, Kenji Kawaguchi, Anirudh Goyal, J. Zico Kolter, Michael Qizhe Shieh

CoRR, March, 2025

Long-Context Inference with Retrieval-Augmented Speculative Decoding.

Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh

CoRR, February, 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, Michael Qizhe Shieh, Wenmeng Zhou

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization.

Guanzheng Chen, Xin Li, Michael Shieh, Lidong Bing

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding and Enhancing Safety Mechanisms of LLMs via Safety-Specific Neuron.

Yiran Zhao, Wenxuan Zhang, Yuxi Xie, Anirudh Goyal, Kenji Kawaguchi, Michael Shieh

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Single Character Perturbations Break LLM Alignment.

Leon Lin, Hannah Brown, Kenji Kawaguchi, Michael Shieh

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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, Kaichen Zhang, Mahir Shah, Kabir Jain, Yang You, Michael Shieh

CoRR, 2024

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs.

Hannah Brown, Leon Lin, Kenji Kawaguchi, 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

Accelerating Greedy Coordinate Gradient via Probe Sampling.

Yiran Zhao, Wenyue Zheng, Tianle Cai, Xuan Long Do, Kenji Kawaguchi, Anirudh Goyal, Michael Shieh

CoRR, 2024

Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling.

Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Advancing Adversarial Suffix Transfer Learning on Aligned Large Language Models.

Hongfu Liu, Yuxi Xie, Ye Wang, Michael Shieh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reasoning Robustness of LLMs to Adversarial Typographical Errors.

Esther Gan, Yiran Zhao, Liying Cheng, Yancan Mao, Anirudh Goyal, Kenji Kawaguchi, Min-Yen Kan, Michael Shieh

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prompt Optimization via Adversarial In-Context Learning.

Do Xuan Long, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Shieh, Junxian He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024