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Enyu Zhou

The rise and potential of large language model based agents: a survey
2025 · Zhiheng Xi, Wenxiang Chen, et al. · Science China Information Sciences · 954
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Global Matching with Overlapping Attention for Optical Flow Estimation
2022 · Shiyu Zhao, Long Zhao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 100
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LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
2024 · Shihan Dou, Enyu Zhou, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 63
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StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback
2024 · Shihan Dou, Yan Liu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 18
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Semi-synthesis: A fast way to produce effective datasets for stereo matching
2021 · Ju He, Enyu Zhou, et al. · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 11
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LoRAMoE: Alleviate World Knowledge Forgetting in Large Language Models via MoE-Style Plugin
2023 · Dou, Shihan, Zhou, Enyu, et al. · arXiv (Cornell University) · 8
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Secrets of RLHF in Large Language Models Part II: Reward Modeling
2024 · Wang, Binghai, Zheng, Rui, et al. · arXiv (Cornell University) · 7
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StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
2024 · Dou, Shihan, Liu, Yan, et al. · arXiv (Cornell University) · 5
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SafeAligner: Safety Alignment against Jailbreak Attacks via Response Disparity Guidance
2024 · Huang, Caishuang, Zhao, Wanxu, et al. · arXiv (Cornell University) · 3
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Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning
2025 · Shihan Dou, Yan Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1
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Aligning Large Language Models from Self-Reference AI Feedback with one General Principle
2024 · Bao, Rong, Zheng, Rui, et al. · arXiv (Cornell University) · 1
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LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D
2024 · Zeng Tao, Tong Yang, et al. · neural information processing systems · 1
RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms
2023 · Enyu Zhou, Rui Zheng, et al. · 1
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Scaling Verifiable Environments for Long-horizon Work Agents
2026 · Zhang, Jiazheng, Ma, Long, et al. · arXiv (Cornell University)
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ReDraft, Don't Just Distill: Reference-Driven Revision for Continual VLLM Post-Training
2026 · Zhang, Zhihao, Wu, Mingqi, et al. · arXiv (Cornell University)
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Sci-MMR: Benchmarking Multi-Step Evidence-Grounded Scientific Reasoning in Multimodal Agents
2026 · Li, Jiaqiang, Yang, Yajie, et al. · arXiv (Cornell University)
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ContextWeave: A Real-World Workflow Benchmark
2026 · Wang, Bo, Yao, Yuqian, et al. · arXiv (Cornell University)
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CARD: A cache-assisted parallel speculative decoding framework via query-and-correct paradigm for accelerating LLM inference
2026 · Enyu Zhou, Runjie Ding, et al. · High-Confidence Computing
VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
2026 · Association for Computational Linguistics 2026, Chai, Mingxu, et al. · Underline Science Inc.
MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
2026 · Lin, Jiahang, Hu, Kai, et al. · arXiv (Cornell University)
MM-Doc-R1: Training Agents for Long Document Visual Question Answering through Multi-turn Reinforcement Learning
2026 · Lin, Jiahang, Hu, Kai, et al. · arXiv (Cornell University)
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JFTA-Bench: Evaluate LLM's Ability of Tracking and Analyzing Malfunctions Using Fault Trees
2026 · Wang, Yuhui, Yang, Zhixiong, et al. · arXiv (Cornell University)
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Steering LLMs via Scalable Interactive Oversight
2026 · Zhou, Enyu, Xi, Zhiheng, et al. · arXiv (Cornell University)
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FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions
2026 · Li, Peng, Zhuang, Zihan, et al. · arXiv (Cornell University)
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VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training
2026 · Dingwei Zhu, Shihan Dou, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
Works count: 36
Citation count: 1,168
H-index: 7
I10-index: 5
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