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Author

Lu Pan

Observed name: Pan, Lu
Institution: Meituan (China)
Observed institution: Meituan (China)
OpenAlex ID: A5137917617
Retrieval Grounding Latent Reasoning for Dense Retrieval
2026 · Zhou, Gang, Yu, Xiongxi, et al. · arXiv (Cornell University)
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Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillation
2026 · Zhao, Shuaitao, Ni, Feng, et al. · arXiv (Cornell University)
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How Much, Then Where: Credit-Conserving Action-to-Token Allocation for Multi-Turn Agent Reinforcement Learning
2026 · Ma, Lichao, Sun, Yang, et al. · arXiv (Cornell University)
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Agentic Reinforcement Learning with Observation-Calibrated Self-Distillation
2026 · Yang, Yi, Qin, Cong, et al. · arXiv (Cornell University)
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Look Ahead Before You Distill: Future Trajectory Validation of Teacher Guidance for Agentic On-Policy Distillation
2026 · Chen, Chishui, Fan, Yaoyou, et al. · arXiv (Cornell University)
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Rethinking Continual Experience Internalization for Self-Evolving LLM Agents
2026 · Chen, Jingwen, Yang, Wenkai, et al. · arXiv (Cornell University)
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From $\log π$ to $π$: Taming Divergence in Soft Clipping via Bilateral Decoupled Decay of Probability Gradient Weight
2026 · Fu, Xiaoliang, Lin, Jiaye, et al. · arXiv (Cornell University)
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MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning
2026 · Fu, Xiaoliang, Lin, Jiaye, et al. · arXiv (Cornell University)
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Skill or Skip? Learning Selective Skill Invocation in Agentic Tasks via Dual-Granularity Preference Learning
2026 · Chishui Chen, Jiaye Lin, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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SIRI: Self-Internalizing Reinforcement Learning with Intrinsic Skills for LLM Agent Training
2026 · Zhongyu He, Yuanfan Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Uncovering and Mitigating Aggregation-Induced Reward Hacking in Multi-Reward Reinforcement Learning
2026 · Yu Yuan, Yaoyou Fan, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 11
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