Chen, Zhengyu

21 publications

AAAI 2025 Attributive Reasoning for Hallucination Diagnosis of Large Language Models Yuyan Chen, Zehao Li, Shuangjie You, Zhengyu Chen, Jingwen Chang, Yi Zhang, Weinan Dai, Qingpei Guo, Yanghua Xiao
ICLRW 2025 Explaining Length Bias in LLM-Based Preference Evaluations Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Zhengyu Chen, Hui Xiong
ICLR 2025 Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
NeurIPS 2025 Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
ICLR 2025 On a Connection Between Imitation Learning and RLHF Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar
ICLR 2025 SimPER: A Minimalist Approach to Preference Alignment Without Hyperparameters Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G Honavar
NeurIPS 2024 DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang
NeurIPS 2024 FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang
NeurIPS 2024 HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang
AAAI 2024 Learning to Reweight for Generalizable Graph Neural Network Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
ICLR 2024 Let Models Speak Ciphers: Multiagent Debate Through Embeddings Chau Pham, Boyi Liu, Yingxiang Yang, Zhengyu Chen, Tianyi Liu, Jianbo Yuan, Bryan A. Plummer, Zhaoran Wang, Hongxia Yang
NeurIPSW 2024 Math for AI: On the Generalization of Learning Mathematical Problem Solving Ruochen Zhou, Minrui Xu, Shiqi Chen, Junteng Liu, Yunqi Li, Xinxin Lin, Zhengyu Chen, Junxian He
ICCV 2023 MAP: Towards Balanced Generalization of IID and OOD Through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
NeurIPSW 2023 On the Tool Manipulation Capability of Open-Sourced Large Language Models Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang
NeurIPS 2023 Simple and Asymmetric Graph Contrastive Learning Without Augmentations Teng Xiao, Huaisheng Zhu, Zhengyu Chen, Suhang Wang
NeurIPS 2022 Decoupled Self-Supervised Learning for Graphs Teng Xiao, Zhengyu Chen, Zhimeng Guo, Zeyang Zhuang, Suhang Wang
IJCAI 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen
AAAI 2022 Learn Goal-Conditioned Policy with Intrinsic Motivation for Deep Reinforcement Learning Jinxin Liu, Donglin Wang, Qiangxing Tian, Zhengyu Chen
ICML 2022 The Role of Deconfounding in Meta-Learning Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei
AAAI 2021 Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems Zhengyu Chen, Ziqing Xu, Donglin Wang
CVPR 2021 Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang