Chen, Lichang

14 publications

NeurIPS 2025 Creativity or Brute Force? Using Brainteasers as a Window into the Problem-Solving Abilities of Large Language Models Simeng Han, Howard Dai, Stephen Xia, Grant Zhang, Chen Liu, Lichang Chen, Hoang H Nguyen, Hongyuan Mei, Jiayuan Mao, R. Thomas McCoy

ICLR 2025 OmnixR: Evaluating Omni-Modality Language Models on Reasoning Across Modalities Lichang Chen, Hexiang Hu, Mingda Zhang, Yiwen Chen, Zifeng Wang, Yandong Li, Pranav Shyam, Tianyi Zhou, Heng Huang, Ming-Hsuan Yang, Boqing Gong

ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh

AAAI 2025 Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold

ICLR 2024 AlpaGasus: Training a Better Alpaca with Fewer Data Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin

CVPR 2024 HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Tianrui Guan, Fuxiao Liu, Xiyang Wu, Ruiqi Xian, Zongxia Li, Xiaoyu Liu, Xijun Wang, Lichang Chen, Furong Huang, Yaser Yacoob, Dinesh Manocha, Tianyi Zhou

ICML 2024 InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models Lichang Chen, Jiuhai Chen, Tom Goldstein, Heng Huang, Tianyi Zhou

ICML 2024 ODIN: Disentangled Reward Mitigates Hacking in RLHF Lichang Chen, Chen Zhu, Jiuhai Chen, Davit Soselia, Tianyi Zhou, Tom Goldstein, Heng Huang, Mohammad Shoeybi, Bryan Catanzaro

ECCV 2024 Prompting Language-Informed Distribution for Compositional Zero-Shot Learning Wentao Bao, Lichang Chen, Heng Huang, Yu Kong

CVPR 2024 Spectrum AUC Difference (SAUCD): Human-Aligned 3D Shape Evaluation Tianyu Luan, Zhong Li, Lele Chen, Xuan Gong, Lichang Chen, Yi Xu, Junsong Yuan

ICLR 2024 Unbiased Watermark for Large Language Models Zhengmian Hu, Lichang Chen, Xidong Wu, Yihan Wu, Hongyang Zhang, Heng Huang

NeurIPSW 2023 Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection Jun Yan, Vikas Yadav, Shiyang Li, Lichang Chen, Zheng Tang, Hai Wang, Vijay Srinivasan, Xiang Ren, Hongxia Jin

NeurIPSW 2023 Reflection-Tuning: Recycling Data for Better Instruction-Tuning Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Tianyi Zhou

ECCV 2020 Graph Edit Distance Reward: Learning to Edit Scene Graph Lichang Chen, Guosheng Lin, Shijie Wang, Qingyao Wu