| 2026 | ACL | Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math. | Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, Yifei Ming, Caiming Xiong, Shafiq Joty |
| 2026 | ACL | Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. | Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty |
| 2025 | ACL | Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. | Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa |
| 2025 | ACL | Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. | Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty |
| 2025 | EMNLP | Demystifying Domain-adaptive Post-training for Financial LLMs. | Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty |
| 2025 | ICLR | 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 |
| 2024 | CVPR | ReweightOOD: Loss Reweighting for Distance-based OOD Detection. | Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai |
| 2024 | ICLR | HYPO: Hyperspherical Out-Of-Distribution Generalization. | Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li |
| 2024 | ICML | Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models. | Yifei Ming, Yixuan Li |
| 2023 | EMNLP | A Critical Analysis of Document Out-of-Distribution Detection. | Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova |
| 2023 | ICLR | How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? | Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li |
| 2022 | AAAI | On the Impact of Spurious Correlation for Out-of-Distribution Detection. | Yifei Ming, Hang Yin, Yixuan Li |
| 2022 | EMNLP | Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. | Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee |
| 2022 | ICML | POEM: Out-of-Distribution Detection with Posterior Sampling. | Yifei Ming, Ying Fan, Yixuan Li |
| 2022 | ICML | Out-of-Distribution Detection with Deep Nearest Neighbors. | Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li |
| 2021 | ICML | Model-based Reinforcement Learning for Continuous Control with Posterior Sampling. | Ying Fan, Yifei Ming |
| 2018 | ICMV | Head pose estimation with neural networks from surveillant images. | Yichao Cai, Xiao Zhou, Dachuan Li, Yifei Ming, Xingang Mou |