Yifu Huo

According to our database, Yifu Huo authored at least 16 papers between 2024 and 2026.

Collaborative distances:

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

2026

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models.

Yifu Huo, Chenglong Wang, Ziming Zhu, Shunjie Xing, Peinan Feng, Tongran Liu, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Zhengtao Yu, Tong Xiao

CoRR, April, 2026

MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning.

Chenglong Wang, Yifu Huo, Yang Gan, Qiaozhi He, Qi Meng, Bei Li, Yan Wang, Junfu Liu, Tianhua Zhou, Jingbo Zhu, Tong Xiao

CoRR, March, 2026

When Scaling Fails: Mitigating Audio Perception Decay of LALMs via Multi-Step Perception-Aware Reasoning.

Ruixiang Mao, Xiangnan Ma, Dan Chen, Ziming Zhu, Yuan Ge, Aokai Hao, Haishu Zhao, Yifu Huo, Qing Yang, Kaiyan Chang, Xiaoqian Liu, Chenglong Wang, Qiaozhi He, Tong Xiao, Jingbo Zhu

CoRR, March, 2026

APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards.

Kaiyan Chang, Chenwei Zhu, Yingfeng Luo, Yifu Huo, Chenglong Wang, Xiaoqian Liu, Qiaozhi He, Tong Xiao, Zhengtao Yu, Jingbo Zhu

CoRR, February, 2026

SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams.

Chenglong Wang, Canjia Li, Xingzhao Zhu, Yifu Huo, Huiyu Wang, Weixiong Lin, Yun Yang, Qiaozhi He, Tianhua Zhou, Xiaojia Chang, Jingbo Zhu, Tong Xiao

CoRR, January, 2026

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models.

Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.

Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Tong Xiao, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu

CoRR, September, 2025

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework.

Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, Jinbo Zhu

CoRR, August, 2025

LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination.

Ziming Zhu, Chenglong Wang, Shunjie Xing, Yifu Huo, Fengning Tian, Quan Du, Di Yang, Chunliang Zhang, Tong Xiao, Jingbo Zhu

CoRR, August, 2025

GRAM: A Generative Foundation Reward Model for Reward Generalization.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu

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

HEAL: A Hypothesis-Based Preference-Aware Analysis Framework.

Yifu Huo, Chenglong Wang, Qiren Zhu, Shunjie Xing, Tong Xiao, Chunliang Zhang, Tongran Liu, JingBo Zhu

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

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

LRHP: Learning Representations for Human Preferences via Preference Pairs.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Qiaozhi He, Murun Yang, Tong Xiao, Chunliang Zhang, Tongran Liu, Jingbo Zhu

CoRR, 2024

RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data.

Chenglong Wang, Yang Gan, Yifu Huo, Yongyu Mu, Murun Yang, Qiaozhi He, Tong Xiao, Chunliang Zhang, Tongran Liu, Quan Du, Di Yang, Jingbo Zhu

CoRR, 2024

ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation.

Chenglong Wang, Hang Zhou, Yimin Hu, Yifu Huo, Bei Li, Tongran Liu, Tong Xiao, Jingbo Zhu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024