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YH

Yifu Huo

cs.CLcs.LGcs.AIcs.CVcs.SDeess.AS

On Valency

published · living versions
W_af3g4cpf·v1 · currentpublished
PEAR: Adaptive Advantage Reshaping for Perception and Exploration in Large Vision-Language Models
with Junxin Wang, Yingfeng Luo, Xiangchen Song, Weiqiao Shan +10
1 version

Preprints & journals

15 papers in the corpus · 2023–2026
MSRL: Scaling Generative Multimodal Reward Modeling via Multi-Stage Reinforcement Learning2603.25108v1 · Chenglong Wang, Yifu Huo, Yang Gan et al.2026 · 0 citationsarXiv
APR: Penalizing Structural Redundancy in Large Reasoning Models via Anchor-based Process Rewards2602.00760v2 · Kaiyan Chang, Chenwei Zhu, Yingfeng Luo et al.2026 · 0 citationsarXiv
SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams2601.09515v3 · Chenglong Wang, Canjia Li, Xingzhao Zhu et al.2026 · 0 citationsarXiv
GRAM-R2^2: Self-Training Generative Foundation Reward Models for Reward Reasoning2509.02492v3 · Chenglong Wang, Yongyu Mu, Hang Zhou et al.2025 · 0 citationsarXiv
HEAL: A Hypothesis-Based Preference-Aware Analysis Framework2508.19922v1 · Yifu Huo, Chenglong Wang, Qiren Zhu et al.2025 · 0 citationsarXiv
LaTeXTrans: Structured LaTeX Translation with Multi-Agent Coordination2508.18791v3 · Ziming Zhu, Chenglong Wang, Haosong Xv et al.2025 · 0 citationsarXiv
GRAM: A Generative Foundation Reward Model for Reward Generalization2506.14175v3 · Chenglong Wang, Yang Gan, Yifu Huo et al.2025 · 0 citationsarXiv
LRHP: Learning Representations for Human Preferences via Preference Pairs2410.04503v1 · Chenglong Wang, Yang Gan, Yifu Huo et al.2024 · 0 citationsarXiv
RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference Data2408.12109v2 · Chenglong Wang, Yang Gan, Yifu Huo et al.2024 · 2 citationsarXiv
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation2308.02223v1 · Chenglong Wang, Hang Zhou, Yimin Hu et al.2023 · 4 citationsarXiv
Career total: 22 works. 15 are in this corpus.

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