Michael Shieh

According to our database, Michael Shieh authored at least 36 papers between 2024 and 2026.

Collaborative distances:

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

2026

ClawMark: A Living-World Benchmark for Multi-Turn, Multi-Day, Multimodal Coworker Agents.

Fanqing Meng, Lingxiao Du, Zijian Wu, Guanzheng Chen, Xiangyan Liu, Jiaqi Liao, Chonghe Jiang, Zhenglin Wan, Jiawei Gu, Pengfei Zhou, Rui Huang, Ziqi Zhao, Shengyuan Ding, Ailing Yu, Bo Peng, Bowei Xia, Hao Sun, Haotian Liang, Ji Xie, Jiajun Chen, Jiajun Song, Liu Yang, Ming Xu, Qionglin Qiu, Runhao Fu, Shengfang Zhai, Shijian Wang, Tengfei Ma, Tianyi Wu, Weiyang Jin, Yan Wang, Yang Dai, Yao Lai, Youwei Shu, Yue Liu, Yunzhuo Hao, Yuwei Niu, Jinkai Huang, Jiayuan Zhuo, Zhennan Shen, Linyu Wu, Cihang Xie, Yuyin Zhou, Jiaheng Zhang, Zeyu Zheng, Mengkang Hu, Michael Qizhe Shieh

CoRR, April, 2026

Chasing the Public Score: User Pressure and Evaluation Exploitation in Coding Agent Workflows.

Hardy Chen, Nancy Lau, Haoqin Tu, Shuo Yan, Xiangyan Liu, Zijun Wang, Juncheng Wu, Michael Qizhe Shieh, Alvaro A. Cárdenas, Cihang Xie, Yuyin Zhou

CoRR, April, 2026

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw.

Zijun Wang, Haoqin Tu, Letian Zhang, Hardy Chen, Juncheng Wu, Xiangyan Liu, Zhenlong Yuan, Tianyu Pang, Michael Qizhe Shieh, Fengze Liu, Zeyu Zheng, Huaxiu Yao, Yuyin Zhou, Cihang Xie

CoRR, April, 2026

Gym-V: A Unified Vision Environment System for Agentic Vision Research.

Fanqing Meng, Lingxiao Du, Jiawei Gu, Jiaqi Liao, Linjie Li, Zijian Wu, Xiangyan Liu, Ziqi Zhao, Mengkang Hu, Yue Zhang, Zichen Liu, Jiaheng Zhang, Michael Qizhe Shieh

CoRR, March, 2026

In-Context Reinforcement Learning for Tool Use in Large Language Models.

Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh

CoRR, March, 2026

ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning.

Yiran Zhao, Yaoqi Ye, Xiang Liu, Michael Qizhe Shieh, Trung Bui

CoRR, March, 2026

LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards.

Guanzheng Chen, Michael Qizhe Shieh, Lidong Bing

CoRR, March, 2026

Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog.

Yiran Zhao, Shengyang Zhou, Zijian Wu, Tongyan Hu, Yuhui Xu, Rengan Dou, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Michael Qizhe Shieh

CoRR, February, 2026

MM-Eureka: Toward Stable Multimodal Reasoning via Rule-based Reinforcement Learning with Policy Drift Control.

Fanqing Meng, Lingxiao Du, Zongkai Liu, Zhixiang Zhou, Quanfeng Lu, Tiancheng Han, Daocheng Fu, Kaipeng Zhang, Ping Luo, Yu Qiao, Jiaheng Zhang, Michael Qizhe Shieh, Qiaosheng Zhang, Wenqi Shao

Trans. Mach. Learn. Res., 2026

2025

Diffusion Language Models are Super Data Learners.

Jinjie Ni, Qian Liu, Longxu Dou, Chao Du, Zili Wang, Hang Yan, Tianyu Pang, Michael Qizhe Shieh

CoRR, November, 2025

ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning.

Jiawei Gu, Yunzhuo Hao, Huichen Will Wang, Linjie Li, Michael Qizhe Shieh, Yejin Choi, Ranjay Krishna, Yu Cheng

CoRR, October, 2025

Training Optimal Large Diffusion Language Models.

Jinjie Ni, Qian Liu, Chao Du, Longxu Dou, Hang Yan, Zili Wang, Tianyu Pang, Michael Qizhe Shieh

CoRR, October, 2025

GEM: A Gym for Agentic LLMs.

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

CoRR, October, 2025

MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use.

Zijian Wu, Xiangyan Liu, Xinyuan Zhang, Lingjun Chen, Fanqing Meng, Lingxiao Du, Yiran Zhao, Fanshi Zhang, Yaoqi Ye, Jiawei Wang, Zirui Wang, Jinjie Ni, Yufan Yang, Arvin Xu, Michael Qizhe Shieh

CoRR, September, 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

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding.

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

Proceedings of the Forty-second International Conference on Machine Learning, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 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 37: 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 (Volume 4: Student Research Workshop), 2024