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Xiaohan Wang

Contextual Rollout Bandits for Reinforcement Learning with Verifiable Rewards
2026 · Lu, Xiaodong, Wang, Xiaohan, et al. · arXiv (Cornell University) · 1
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Your Group-Relative Advantage Is Biased
2026 · Yang, Fengkai, Chen, Zherui, et al. · arXiv (Cornell University) · 1
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One Step, One Lead: Mitigating Higher-Order Interference in Multi-Domain Reinforcement Learning via Cross-Step Control
2026 · Lin, Zihan, Wang, Xiaohan, et al. · arXiv (Cornell University)
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Toward Plasticity-Preserving KL Regularization for Capability Retention in LLM Reinforcement Learning
2026 · Wang, Li, Lu, Xiaodong, et al. · arXiv (Cornell University)
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Exact controllability of the stochastic Maxwell equation: theory and numerical simulation
2026 · Sun, Liying, Wang, Xiaohan, et al. · arXiv (Cornell University)
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When Self-Belief Misleads: Active Label Acquisition for Reinforcement Learning with Verifiable Rewards
2026 · Wang, Li, Lu, Xiaodong, et al. · arXiv (Cornell University)
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Implicit Hierarchical GRPO: Decoupling Tool Invocation from Execution for Tool-Integrated Mathematical Reasoning
2026 · Wang, Li, Wang, Xiaohan, et al. · arXiv (Cornell University)
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AMR-SD: Asymmetric Meta-Reflective Self-Distillation for Token-Level Credit Assignment
2026 · Wei, Zhenlin, Jian, Pu, et al. · arXiv (Cornell University)
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ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning
2026 · Lin, Zihan, Wang, Xiaohan, et al. · arXiv (Cornell University)
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AutoSearch: Adaptive Search Depth for Efficient Agentic RAG via Reinforcement Learning
2026 · Sun, Jingbo, Chong, Wenyue, et al. · arXiv (Cornell University)
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$π$-Play: Multi-Agent Self-Play via Privileged Self-Distillation without External Data
2026 · Zhang, Yaocheng, Zhu, Yuanheng, et al. · arXiv (Cornell University)
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Policy Improvement Reinforcement Learning
2026 · Wang, Huaiyang, Li, Xiaojie, et al. · arXiv (Cornell University)
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CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
2026 · Liu, Dengcan, Yang, Fengkai, et al. · arXiv (Cornell University)
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Rethinking Personalization in Large Language Models at the Token Level
2026 · Zhang, Chenheng, Lu, Yijun, et al. · arXiv (Cornell University)
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UniMem: Complementary Episodic-to-Parametric Memory for Boundary-Agnostic Task Streams
2026 · Siyu Xia, Chenheng Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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HiDiffTIR: Hierarchical Difficulty-Aware Policy Optimization for Multi-Turn Tool-Integrated Reasoning
2026 · Yucan Guo, Xiaohan Wang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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When Not to Imitate: Boundary-Aware Skill Memory for Reliable Tool-Use LLM Agents
2026 · Zihan Lin, Zhenyu Chen, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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AWPO: Enhancing Tool-Use of Large Language Models through Adaptive Integration of Reasoning Rewards
2025 · Lin, Zihan, Wang, Xiaohan, et al. · arXiv (Cornell University)
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Author response for "Novel high-resolution data to unravel distribution, mechanisms and anthropogenic threats to freshwater macrophytes worldwide"
2025 · Xiaohan Wang, Xin Liang, et al. · Publons reviews and discussion
Works count: 20
Citation count: 3
H-index: 1
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