Michael Qizhe Shieh

21 papers A* 3Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gradually Compacting Large Language Models for Reasoning Like a Boiling Frog. CoRR Yiran Zhao, Shengyang Zhou, Zijian Wu, Tongyan Hu, Yuhui Xu, Rengan Dou, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Michael Qizhe Shieh
2026	J	`jnl`	Gym-V: A Unified Vision Environment System for Agentic Vision Research. CoRR 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
2026	J	`jnl`	ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning. CoRR Yiran Zhao, Yaoqi Ye, Xiang Liu, Michael Qizhe Shieh, Trung Bui
2026	J	`jnl`	In-Context Reinforcement Learning for Tool Use in Large Language Models. CoRR Yaoqi Ye, Yiran Zhao, Keyu Duan, Zeyu Zheng, Kenji Kawaguchi, Cihang Xie, Michael Qizhe Shieh
2026	J	`jnl`	LongRLVR: Long-Context Reinforcement Learning Requires Verifiable Context Rewards. CoRR Guanzheng Chen, Michael Qizhe Shieh, Lidong Bing
2025	—	`conf`	CodexGraph: Bridging Large Language Models and Code Repositories via Code Graph Databases. NAACL (Long Papers) Xiangyan Liu, Bo Lan, Zhiyuan Hu, Yang Liu, Zhicheng Zhang, Fei Wang, Michael Qizhe Shieh, Wenmeng Zhou
2025	J	`jnl`	Diffusion Language Models are Super Data Learners. CoRR Jinjie Ni, Qian Liu, Longxu Dou, Chao Du, Zili Wang, Hang Yan, Tianyu Pang, Michael Qizhe Shieh
2025	J	`jnl`	Efficient Process Reward Model Training via Active Learning. CoRR Keyu Duan, Zichen Liu, Xin Mao, Tianyu Pang, Changyu Chen, Qiguang Chen, Michael Qizhe Shieh, Longxu Dou
2025	J	`jnl`	Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction. CoRR Ziyao Guo, Kaipeng Zhang, Michael Qizhe Shieh
2025	J	`jnl`	Long-Context Inference with Retrieval-Augmented Speculative Decoding. CoRR Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh
2025	J	`jnl`	LongPO: Long Context Self-Evolution of Large Language Models through Short-to-Long Preference Optimization. CoRR Guanzheng Chen, Xin Li, Michael Qizhe Shieh, Lidong Bing
2025	J	`jnl`	MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use. CoRR 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
2025	J	`jnl`	NoisyRollout: Reinforcing Visual Reasoning with Data Augmentation. CoRR Xiangyan Liu, Jinjie Ni, Zijian Wu, Chao Du, Longxu Dou, Haonan Wang, Tianyu Pang, Michael Qizhe Shieh
2025	A*	`conf`	RAPID: Long-Context Inference with Retrieval-Augmented Speculative Decoding. ICML Guanzheng Chen, Qilong Feng, Jinjie Ni, Xin Li, Michael Qizhe Shieh
2025	J	`jnl`	SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis. CoRR Zijian Wu, Jinjie Ni, Xiangyan Liu, Zichen Liu, Hang Yan, Michael Qizhe Shieh
2025	J	`jnl`	The Emergence of Abstract Thought in Large Language Models Beyond Any Language. CoRR Yuxin Chen, Yiran Zhao, Yang Zhang, An Zhang, Kenji Kawaguchi, Shafiq Joty, Junnan Li, Tat-Seng Chua, Michael Qizhe Shieh, Wenxuan Zhang
2025	J	`jnl`	ThinkMorph: Emergent Properties in Multimodal Interleaved Chain-of-Thought Reasoning. CoRR Jiawei Gu, Yunzhuo Hao, Huichen Will Wang, Linjie Li, Michael Qizhe Shieh, Yejin Choi, Ranjay Krishna, Yu Cheng
2025	J	`jnl`	Training Optimal Large Diffusion Language Models. CoRR Jinjie Ni, Qian Liu, Chao Du, Longxu Dou, Hang Yan, Zili Wang, Tianyu Pang, Michael Qizhe Shieh
2025	A*	`conf`	Unnatural Languages Are Not Bugs but Features for LLMs. ICML 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
2025	J	`jnl`	Unnatural Languages Are Not Bugs but Features for LLMs. CoRR 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
2024	A*	`conf`	Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling. NeurIPS Yiran Zhao, Wenyue Zheng, Tianle Cai, Do Xuan Long, Kenji Kawaguchi, Anirudh Goyal, Michael Qizhe Shieh