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Author

Zhengze Zhou

Observed name: Zhou, Zhengze
Observed institution: LinkedIn (United States)
ORCID: 0000-0002-5695-4386
Observed ORCID: 0000-0002-5695-4386
OpenAlex ID: A5125510945
Semantic Search At LinkedIn
2026 · Fedor Borisyuk, Sriram Vasudevan, et al. · ACM International Conference on Information and Knowledge Management (CIKM)
TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning
2026 · Xu, Yuanda, Zhou, Zhengze, et al. · arXiv (Cornell University)
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TIP: Token Importance in On-Policy Distillation
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
2026 · Markovic-Voronov, Jelena, Behdin, Kayhan, et al. · arXiv (Cornell University)
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PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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CRISP: Compressed Reasoning via Iterative Self-Policy Distillation
2026 · Sang, Hejian, Xu, Yuanda, et al. · arXiv (Cornell University)
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Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning
2026 · Xu, Yuanda, Sang, Hejian, et al. · arXiv (Cornell University)
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Not all tokens are needed(NAT): token efficient reinforcement learning
2026 · Sang, Hejian, Xu, Yuanda, et al. · arXiv (Cornell University)
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Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training
2026 · Yuanda Xu, Hejian Sang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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Works count: 9
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