Yifei Ming

According to our database, Yifei Ming authored at least 26 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Demystifying Domain-adaptive Post-training for Financial LLMs.

Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

CoRR, January, 2025

2024

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?

Yifei Ming, Yixuan Li

Int. J. Comput. Vis., February, 2024

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

CoRR, 2024

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

CoRR, 2024

SFR-RAG: Towards Contextually Faithful LLMs.

Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty

CoRR, 2024

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 Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

CoRR, 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, Neel Joshi

CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoRR, 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, Sharon Li, Neel Joshi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models.

Yifei Ming, Yixuan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HYPO: Hyperspherical Out-Of-Distribution Generalization.

Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ReweightOOD: Loss Reweighting for Distance-based OOD Detection.

Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Domain Generalization via Nuclear Norm Regularization.

Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang

CoRR, 2023

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Are Vision Transformers Robust to Spurious Correlations?

Soumya Suvra Ghosal, Yifei Ming, Yixuan Li

CoRR, 2022

CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection.

Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li

CoRR, 2022

Delving into Out-of-Distribution Detection with Vision-Language Representations.

Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SIREN: Shaping Representations for Detecting Out-of-Distribution Objects.

Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Out-of-Distribution Detection with Deep Nearest Neighbors.

Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

POEM: Out-of-Distribution Detection with Posterior Sampling.

Yifei Ming, Ying Fan, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On the Impact of Spurious Correlation for Out-of-Distribution Detection.

Yifei Ming, Hang Yin, Yixuan Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling.

Ying Fan, Yifei Ming

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions.

Ying Fan, Yifei Ming

CoRR, 2020

2018

Head pose estimation with neural networks from surveillant images.

Yichao Cai, Xiao Zhou, Dachuan Li, Yifei Ming, Xingang Mou

Proceedings of the Eleventh International Conference on Machine Vision, 2018