Chen, Guanhua

16 publications

ICLR 2026 Anchored Supervised Fine-Tuning He Zhu, Junyou Su, Peng Lai, Ren Ma, Wenjia Zhang, Linyi Yang, Guanhua Chen
ICLR 2026 BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation Peng Lai, Zhihao Ou, Yong Wang, Longyue Wang, Jian Yang, Yun Chen, Guanhua Chen
ICLR 2026 Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities Jiashi Gao, Kexin Liu, Xinwei Guo, Junlei Zhou, Jiaxin Zhang, Xiangyu Zhao, Guanhua Chen, Xin Yao, Xuetao Wei
ICLR 2026 From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei
ICLR 2026 Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Zhiheng Xi, Changhao Jiang, Zhangyue Yin, Yining Zheng, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang
ICLR 2026 InfoScan: Information-Efficient Visual Scanning via Resource-Adaptive Walks Yifeng Wu, Huimin Huang, Shangjie Zhou, Yawen Huang, Hao Zheng, Yun Chen, Xian Wu, Ruize Han, Guanhua Chen
ICLR 2026 Tree Search for LLM Agent Reinforcement Learning Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu
ICLR 2026 VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models Lingjie Jiang, Shaohan Huang, Xun Wu, Yixia Li, Guanhua Chen, Dongdong Zhang, Furu Wei
NeurIPS 2025 Alleviating Hallucinations in Large Language Models Through Multi-Model Contrastive Decoding and Dynamic Hallucination Detection Chenyu Zhu, Yefeng Liu, Hao Zhang, Aowen Wang, Yangxue, Guanhua Chen, Longyue Wang, Weihua Luo, Kaifu Zhang
NeurIPS 2025 Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen
NeurIPS 2024 An Effective Framework for Estimating Individualized Treatment Rules Joowon Lee, Jared D. Huling, Guanhua Chen
NeurIPSW 2024 Position Paper on Diagnostic Uncertainty Estimation from Large Language Models: Next-Word Probability Is Not Pre-Test Probability Yanjun Gao, Skatje Myers, Shan Chen, Dmitriy Dligach, Timothy A Miller, Danielle Bitterman, Guanhua Chen, Anoop Mayampurath, Matthew Churpek, Majid Afshar
NeurIPS 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation Yixia Li, Boya Xiong, Guanhua Chen, Yun Chen
AISTATS 2022 Policy Learning for Optimal Individualized Dose Intervals Guanhua Chen, Xiaomao Li, Menggang Yu
AAAI 2021 Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance Guanhua Chen, Yun Chen, Victor O. K. Li
IJCAI 2020 Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation Guanhua Chen, Yun Chen, Yong Wang, Victor O. K. Li