Cao, Yixin

20 publications

ICLR 2026 Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-Free Curricular Meaningful Learning Kai Xiong, Xiao Ding, Yixin Cao, Li Du, Jiahao Ying, Yang Zhao, Bing Qin, Ting Liu

ICLR 2026 FRABench and UFEval: Unified Fine-Grained Evaluation with Task and Aspect Generalization Shibo Hong, Jiahao Ying, Haiyuan Liang, Mengdi Zhang, Jun Kuang, Jiazheng Zhang, Yixin Cao

ICLR 2026 Smarter Not Harder: Generative Process Evaluation with Intrinsic-Signal Driving and Ability‑Adaptive Reward Shaping Tao He, Rongchuan Mu, Lizi Liao, Yixin Cao, Yang Li, Yijia Luo, Weixun Wang, Ming Liu, Bing Qin

ICLR 2026 Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness Yuhang Zhou, Xutian Chen, Yixin Cao, Yuchen Ni, Yu He, Siyu Tian, Xiang Liu, Yunwen Chen, Guangnan Ye, Xipeng Qiu, Hongfeng Chai

NeurIPS 2025 ForgerySleuth: Empowering Multimodal Large Language Models for Image Manipulation Detection Zhihao Sun, Haoran Jiang, Haoran Chen, Yixin Cao, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang

NeurIPS 2025 Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields Xixian Liu, Rui Jiao, Zhiyuan Liu, Yurou Liu, Yang Liu, Ziheng Lu, Wenbing Huang, Yang Zhang, Yixin Cao

ICLR 2025 Precise Localization of Memories: A Fine-Grained Neuron-Level Knowledge Editing Technique for LLMs Haowen Pan, Xiaozhi Wang, Yixin Cao, Zenglin Shi, Xun Yang, Juanzi Li, Meng Wang

ICLR 2025 RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style Yantao Liu, Zijun Yao, Rui Min, Yixin Cao, Lei Hou, Juanzi Li

AAAI 2025 S3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao

AAAI 2025 Simulation-Free Hierarchical Latent Policy Planning for Proactive Dialogues Tao He, Lizi Liao, Yixin Cao, Yuanxing Liu, Yiheng Sun, Zerui Chen, Ming Liu, Bing Qin

NeurIPS 2024 Automating Dataset Updates Towards Reliable and Timely Evaluation of Large Language Models Jiahao Ying, Yixin Cao, Yushi Bai, Qianru Sun, Bo Wang, Wei Tang, Zhaojun Ding, Yizhe Yang, Xuanjing Huang, Shuicheng Yan

ICML 2024 Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better Vicente Balmaseda, Ying Xu, Yixin Cao, Nate Veldt

NeurIPS 2024 Knowledge Graph Completion by Intermediate Variables Regularization Changyi Xiao, Yixin Cao

NeurIPS 2024 MMLONGBENCH-DOC: Benchmarking Long-Context Document Understanding with Visualizations Yubo Ma, Yuhang Zang, Liangyu Chen, Meiqi Chen, Yizhu Jiao, Xinze Li, Xinyuan Lu, Ziyu Liu, Yan Ma, Xiaoyi Dong, Pan Zhang, Liangming Pan, Yu-Gang Jiang, Jiaqi Wang, Yixin Cao, Aixin Sun

NeurIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

NeurIPS 2023 Benchmarking Foundation Models with Language-Model-as-an-Examiner Yushi Bai, Jiahao Ying, Yixin Cao, Xin Lv, Yuze He, Xiaozhi Wang, Jifan Yu, Kaisheng Zeng, Yijia Xiao, Haozhe Lyu, Jiayin Zhang, Juanzi Li, Lei Hou

AAAI 2023 Knowledge Graph Embedding by Normalizing Flows Changyi Xiao, Xiangnan He, Yixin Cao

AAAI 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing

AAAI 2020 Image Enhanced Event Detection in News Articles Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua

AAAI 2019 Explainable Reasoning over Knowledge Graphs for Recommendation Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua