Guhao Feng

According to our database, Guhao Feng authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

In-Place Test-Time Training.

Guhao Feng, Shengjie Luo, Kai Hua, Ge Zhang, Di He, Wenhao Huang, Tianle Cai

CoRR, April, 2026

Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression.

Jiameng Huang, Baijiong Lin, Guhao Feng, Jierun Chen, Di He, Lu Hou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Theoretical Benefit and Limitation of Diffusion Language Model.

Guhao Feng, Yihan Geng, Jian Guan, Wei Wu, Liwei Wang, Di He

CoRR, February, 2025

DPO Meets PPO: Reinforced Token Optimization for RLHF.

Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng, Li Zhao, Di He, Jiang Bian, Liwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs.

Zhang Zhang, Guhao Feng, Jian Guan, Di He, Wei Wu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs.

Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

How Numerical Precision Affects Mathematical Reasoning Capabilities of LLMs.

Guhao Feng, Kai Yang, Yuntian Gu, Xinyue Ai, Shengjie Luo, Jiacheng Sun, Di He, Zhenguo Li, Liwei Wang

CoRR, 2024

DPO Meets PPO: Reinforced Token Optimization for RLHF.

Han Zhong, Guhao Feng, Wei Xiong, Li Zhao, Di He, Jiang Bian, Liwei Wang

CoRR, 2024

Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity.

Guhao Feng, Han Zhong

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Do Efficient Transformers Really Save Computation?

Kai Yang, Jan Ackermann, Zhenyu He, Guhao Feng, Bohang Zhang, Yunzhen Feng, Qiwei Ye, Di He, Liwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation.

Zhenyu He, Guhao Feng, Shengjie Luo, Kai Yang, Liwei Wang, Jingjing Xu, Zhi Zhang, Hongxia Yang, Di He

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Rethinking Model-based, Policy-based, and Value-based Reinforcement Learning via the Lens of Representation Complexity.

Guhao Feng, Han Zhong

CoRR, 2023

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests.

Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang

Proceedings of the International Conference on Machine Learning, 2023