Kunhao Zheng - RankMe

25 papers A* 10Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	WybeCoder: Verified Imperative Code Generation. CoRR Fabian Gloeckle, Mantas Baksys, Darius Feher, Kunhao Zheng, Amaury Hayat, Sean B. Holden, Gabriel Synnaeve, Peter W. O'Hearn
2025	J	`jnl`	CWM: An Open-Weights LLM for Research on Code Generation with World Models. CoRR FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025	A*	`conf`	Improving Diversity in Language Models: When Temperature Fails, Change the Loss. ICML Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025	J	`jnl`	Improving Diversity in Language Models: When Temperature Fails, Change the Loss. CoRR Alexandre Verine, Florian Le Bronnec, Kunhao Zheng, Alexandre Allauzen, Yann Chevaleyre, Benjamin Négrevergne
2025	A*	`conf`	Optimizing Language Models for Inference Time Objectives using Reinforcement Learning. ICML Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Rémi Munos
2025	J	`jnl`	Optimizing Language Models for Inference Time Objectives using Reinforcement Learning. CoRR Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Rémi Munos
2025	A*	`conf`	PILAF: Optimal Human Preference Sampling for Reward Modeling. ICML Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	J	`jnl`	PILAF: Optimal Human Preference Sampling for Reward Modeling. CoRR Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan
2025	A*	`conf`	RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. ICML Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve
2025	J	`jnl`	Soft Policy Optimization: Online Off-Policy RL for Sequence Models. CoRR Taco Cohen, David W. Zhang, Kunhao Zheng, Yunhao Tang, Rémi Munos, Gabriel Synnaeve
2025	A*	`conf`	The KoLMogorov Test: Compression by Code Generation. ICLR Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen
2025	J	`jnl`	The KoLMogorov Test: Compression by Code Generation. CoRR Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen
2025	A*	`conf`	What Makes Large Language Models Reason in (Multi-Turn) Code Generation? ICLR Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin NéXuanjinggrevergne, Gabriel Synnaeve
2024	J	`jnl`	RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning. CoRR Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve
2024	J	`jnl`	What Makes Large Language Models Reason in (Multi-Turn) Code Generation? CoRR Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve
2023	A*	`conf`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	J	`jnl`	D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan
2023	A*	`conf`	Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization. CVPR Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, Yanfeng Wang
2023	A*	`conf`	Formal Mathematics Statement Curriculum Learning. ICLR Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever
2022	J	`jnl`	Distilling Vision-Language Pre-training to Collaborate with Weakly-Supervised Temporal Action Localization. CoRR Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Yanfeng Wang, Qi Tian
2022	J	`jnl`	Formal Mathematics Statement Curriculum Learning. CoRR Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever
2022	—	`conf`	Prompting Visual-Language Models for Efficient Video Understanding. ECCV (35) Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie
2022	A*	`conf`	miniF2F: a cross-system benchmark for formal Olympiad-level mathematics. ICLR Kunhao Zheng, Jesse Michael Han, Stanislas Polu
2021	J	`jnl`	MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics. CoRR Kunhao Zheng, Jesse Michael Han, Stanislas Polu
2021	J	`jnl`	Prompting Visual-Language Models for Efficient Video Understanding. CoRR Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie