Kunhao Zheng

According to our database, Kunhao Zheng authored at least 12 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Optimizing Language Models for Inference Time Objectives using Reinforcement Learning.

Yunhao Tang, Kunhao Zheng, Gabriel Synnaeve, Rémi Munos

CoRR, March, 2025

Soft Policy Optimization: Online Off-Policy RL for Sequence Models.

Taco Cohen, David W. Zhang, Kunhao Zheng, Yunhao Tang, Rémi Munos, Gabriel Synnaeve

CoRR, March, 2025

PILAF: Optimal Human Preference Sampling for Reward Modeling.

Yunzhen Feng, Ariel Kwiatkowski, Kunhao Zheng, Julia Kempe, Yaqi Duan

CoRR, February, 2025

What Makes Large Language Models Reason in (Multi-Turn) Code Generation?

Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin NéXuanjinggrevergne, Gabriel Synnaeve

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The KoLMogorov Test: Compression by Code Generation.

Ori Yoran, Kunhao Zheng, Fabian Gloeckle, Jonas Gehring, Gabriel Synnaeve, Taco Cohen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

What Makes Large Language Models Reason in (Multi-Turn) Code Generation?

Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Négrevergne, Gabriel Synnaeve

CoRR, 2024

RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

Jonas Gehring, Kunhao Zheng, Jade Copet, Vegard Mella, Taco Cohen, Gabriel Synnaeve

CoRR, 2024

2023

Formal Mathematics Statement Curriculum Learning.

Stanislas Polu, Jesse Michael Han, Kunhao Zheng, Mantas Baksys, Igor Babuschkin, Ilya Sutskever

Proceedings of the Eleventh International Conference on Learning Representations, 2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.

Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distilling Vision-Language Pre-Training to Collaborate with Weakly-Supervised Temporal Action Localization.

Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang, Qi Tian, Yanfeng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

miniF2F: a cross-system benchmark for formal Olympiad-level mathematics.

Kunhao Zheng, Jesse Michael Han, Stanislas Polu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Prompting Visual-Language Models for Efficient Video Understanding.

Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie

Proceedings of the Computer Vision - ECCV 2022, 2022