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Zhizhang Fu

Logical Reasoning in Large Language Models: A Survey
2025 · Liu, Hanmeng, Fu, Zhizhang, et al. · arXiv (Cornell University) · 5
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Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective
2026 · Cui, Han, Yan, Jianhao, et al. · arXiv (Cornell University)
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Semifactual Credit-Augmented Policy Optimization
2026 · Pan, Junshu, Fu, Zhizhang, et al. · arXiv (Cornell University)
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Can Retrievers Find the Same Paper from Different Aspects? A Multi-Aspect Full-Paper Scientific Retrieval Benchmark
2026 · Wei, Yiyang, Guo, Fang, et al. · arXiv (Cornell University)
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ReEfBench: Quantifying the Reasoning Efficiency of LLMs
2026 · Fu, Zhizhang, Gu, Yuancheng, et al. · arXiv (Cornell University)
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ReEfBench: Quantifying the Reasoning Efficiency of LLMs
2026 · Zhizhang Fu, Yuancheng Gu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Evaluating the Logical Reasoning Abilities of Large Reasoning Models
2025 · Liu, Hanmeng, Ding, Yiran, et al. · arXiv (Cornell University)
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Break the Chain: Large Language Models Can be Shortcut Reasoners
2024 · Ding, Mengru, Liu, Hanmeng, et al. · arXiv (Cornell University)
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Works count: 8
Citation count: 5
H-index: 1
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