Sun, Yiyou

24 publications

ICLR 2025 Chain-of-Region: Visual Language Models Need Details for Diagram Analysis Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen

NeurIPS 2025 OMEGA: Can LLMs Reason Outside the Box in Math? Evaluating Exploratory, Compositional, and Transformative Generalization Yiyou Sun, Shawn Hu, Georgia Zhou, Ken Jiankun Zheng, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song

ICLR 2025 SFS: Smarter Code Space Search Improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

CVPR 2025 Where's the Liability in the Generative Era? Recovery-Based Black-Box Detection of AI-Generated Content Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen

NeurIPS 2025 Why and How LLMs Hallucinate: Connecting the Dots with Subsequence Associations Yiyou Sun, Yu Gai, Lijie Chen, Abhilasha Ravichander, Yejin Choi, Nouha Dziri, Dawn Song

NeurIPS 2024 DALD: Improving Logits-Based Detector Without Logits from Black-Box LLMs Cong Zeng, Shengkun Tang, Xianjun Yang, Yuanzhou Chen, Yiyou Sun, Zhiqiang Xu, Yao Li, Haifeng Chen, Wei Cheng, Dongkuan Xu

ICML 2024 DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton Yiyou Sun, Junjie Hu, Wei Cheng, Haifeng Chen

AAAI 2024 How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

DMLR 2024 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

NeurIPS 2024 Revisiting Score Propagation in Graph Out-of-Distribution Detection Longfei Ma, Yiyou Sun, Kaize Ding, Zemin Liu, Fei Wu

ICML 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? Xuefeng Du, Yiyou Sun, Yixuan Li

NeurIPS 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning Yiyou Sun, Zhenmei Shi, Yixuan Li

NeurIPS 2023 Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du, Yiyou Sun, Xiaojin Zhu, Yixuan Li

ICLR 2023 How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

TMLR 2023 OpenCon: Open-World Contrastive Learning Yiyou Sun, Yixuan Li

NeurIPSW 2023 OpenOOD V1.5: Enhanced Benchmark for Out-of-Distribution Detection Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li

CVPR 2023 Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment Yiyou Sun, Yaojie Liu, Xiaoming Liu, Yixuan Li, Wen-Sheng Chu

ICML 2023 When and How Does Known Class Help Discover Unknown Ones? Provable Understanding Through Spectral Analysis Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li

ECCV 2022 DICE: Leveraging Sparsification for Out-of-Distribution Detection Yiyou Sun, Yixuan Li

NeurIPS 2022 Delving into Out-of-Distribution Detection with Vision-Language Representations Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li

NeurIPS 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

ICML 2022 Out-of-Distribution Detection with Deep Nearest Neighbors Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li

NeurIPS 2021 ReAct: Out-of-Distribution Detection with Rectified Activations Yiyou Sun, Chuan Guo, Yixuan Li

ECCV 2018 Interpretable Basis Decomposition for Visual Explanation Bolei Zhou, Yiyou Sun, David Bau, Antonio Torralba