Yifei Ming

According to our database¹, Yifei Ming authored at least 34 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, June, 2025

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows.

[BibT_eX]

[DOI]

CoRR, June, 2025

Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds.

[BibT_eX]

[DOI]

CoRR, June, 2025

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision.

[BibT_eX]

[DOI]

CoRR, May, 2025

NAACL2025 Tutorial: Adaptation of Large Language Models.

[BibT_eX]

[DOI]

Zixuan Ke

Yifei Ming

Shafiq Joty

CoRR, April, 2025

Demystifying Domain-adaptive Post-training for Financial LLMs.

[BibT_eX]

[DOI]

CoRR, January, 2025

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows".

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

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

[BibT_eX]

[DOI]

Yifei Ming

Yixuan Li

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

Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction.

[BibT_eX]

[DOI]

CoRR, 2024

SFR-RAG: Towards Contextually Faithful LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Yifei Ming

Yixuan Li

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

HYPO: Hyperspherical Out-Of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ReweightOOD: Loss Reweighting for Distance-based OOD Detection.

[BibT_eX]

[DOI]

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

Domain Generalization via Nuclear Norm Regularization.

[BibT_eX]

[DOI]

Proceedings of the Conference on Parsimony and Learning, 2024

2023

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

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Critical Analysis of Document Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

2022

Are Vision Transformers Robust to Spurious Correlations?

[BibT_eX]

[DOI]

Soumya Suvra Ghosal

Yifei Ming

Yixuan Li

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ying Fan

Yifei Ming

CoRR, 2020

2018

Head pose estimation with neural networks from surveillant images.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Yifei Ming

Timeline

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