Ming, Yifei

19 publications

TMLR 2025 A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty

NeurIPS 2025 Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala

ICLR 2025 FaithEval: Can Your Language Model Stay Faithful to Context, Even if "The Moon Is Made of Marshmallows" Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

TMLR 2025 Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

CPAL 2024 Domain Generalization via Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

ICLR 2024 HYPO: Hyperspherical Out-of-Distribution Generalization Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

NeurIPS 2024 Is a Picture Worth a Thousand Words? Delving into Spatial Reasoning for Vision Language Models Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Yixuan Li, Neel Joshi

CVPRW 2024 ReweightOOD: Loss Reweighting for Distance-Based OOD Detection Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai

ICML 2024 Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models Yifei Ming, Yixuan Li

ICLRW 2024 Unsolvable Problem Detection for Vision Language Models Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

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

ICMLW 2022 Are Vision Transformers Robust to Spurious Correlations ? Soumya Suvra Ghosal, Yifei Ming, 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

NeurIPSW 2022 Domain Generalization with Nuclear Norm Regularization Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

AAAI 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection Yifei Ming, Hang Yin, Yixuan Li

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

ICML 2022 POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming, Ying Fan, Yixuan Li

NeurIPS 2022 SIREN: Shaping Representations for Detecting Out-of-Distribution Objects Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li

ICML 2021 Model-Based Reinforcement Learning for Continuous Control with Posterior Sampling Ying Fan, Yifei Ming