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Author

Jiazheng Zhang

Observed name: Zhang, Jiazheng
Observed institutions: Fudan University, ZTE (China)
OpenAlex ID: A5144446186
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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A Token-Level Analysis of Sampled-Token Reverse-KL On-Policy Distillation
2026 · Shao, Bing, Zhang, Jiazheng, et al. · arXiv (Cornell University)
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CAFE: Self-Improving Search Agents Need Co-Evolving Feedback
2026 · Liu, Boyang, Jin, Senjie, et al. · arXiv (Cornell University)
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PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning
2026 · Huang, Yuchen, Ying, Xijiang, et al. · arXiv (Cornell University)
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IACM-RL: Intent-Aware Context Management and Reinforcement Learning for Complex Tool Invocation under Dynamic Intent Fluctuations
2026 · Zhu, Dingwei, Li, Jiahan, et al. · arXiv (Cornell University)
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AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
2026 · Xi, Zhiheng, Yang, Dingwen, et al. · arXiv (Cornell University)
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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.
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
2026 · Association for Computational Linguistics 2026, Chen, Tinggang, et al. · Underline Science Inc.
DARM: Distribution-Aware Reward Modeling by Alleviating Biases from Low Preference-Context Dependency Data
2026 · Association for Computational Linguistics 2026, Dou, Shihan, et al. · Underline Science Inc.
CL-bench Life: Can Language Models Learn from Real-Life Context?
2026 · Dou, Shihan, Shen, Yujiong, et al. · arXiv (Cornell University)
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EVPO: Explained Variance Policy Optimization for Adaptive Critic Utilization in LLM Post-Training
2026 · Pan, Chengjun, Liu, Shichun, et al. · arXiv (Cornell University)
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AgentV-RL: Scaling Reward Modeling with Agentic Verifier
2026 · Zhang, Jiazheng, Fu, Ziche, et al. · arXiv (Cornell University)
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Can RL Improve Generalization of LLM Agents? An Empirical Study
2026 · Xi, Zhiheng, Guo, Xin, et al. · arXiv (Cornell University)
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Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection
2026 · Senjie Jin, Peixin Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models
2026 · Mingxu Chai, Chenyu Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 17
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