Yifei Ming - RankMe

53 papers A* 12C 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks. CoRR Zixuan Ke, Yifei Ming, Austin Xu, Ryan Chin, Xuan-Phi Nguyen, Prathyusha Jwalapuram, Jiayu Wang, Semih Yavuz, Caiming Xiong, Shafiq Joty
2026	J	`jnl`	SkillOrchestra: Learning to Route Agents via Skill Transfer. CoRR Jiayu Wang, Yifei Ming, Zixuan Ke, Shafiq Joty, Aws Albarghouthi, Frederic Sala
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. CoRR 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
2025	J	`jnl`	A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning. CoRR Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala
2025	A*	`conf`	Demystifying Domain-adaptive Post-training for Financial LLMs. EMNLP Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Demystifying Domain-adaptive Post-training for Financial LLMs. CoRR Zixuan Ke, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	—	`conf`	Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. ACL (1) Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty
2025	J	`jnl`	Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings. CoRR Austin Xu, Srijan Bansal, Yifei Ming, Semih Yavuz, Shafiq Joty
2025	A*	`conf`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". ICLR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math. CoRR Shrey Pandit, Austin Xu, Xuan-Phi Nguyen, Yifei Ming, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows. CoRR Yifei Ming, Zixuan Ke, Xuan-Phi Nguyen, Jiayu Wang, Shafiq Joty
2025	J	`jnl`	LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild. CoRR Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision. CoRR Zixuan Ke, Austin Xu, Yifei Ming, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2025	J	`jnl`	NAACL2025 Tutorial: Adaptation of Large Language Models. CoRR Zixuan Ke, Yifei Ming, Shafiq Joty
2025	J	`jnl`	Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds. CoRR Yang Guo, Yutian Tao, Yifei Ming, Robert D. Nowak, Yingyu Liang
2025	J	`jnl`	Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms. CoRR Shrey Pandit, Xuan-Phi Nguyen, Yifei Ming, Austin Xu, Jiayu Wang, Caiming Xiong, Shafiq Joty
2025	—	`conf`	Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. ACL (1) Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa
2024	J	`jnl`	Discovering the Gems in Early Layers: Accelerating Long-Context LLMs with 1000x Input Token Reduction. CoRR Zhenmei Shi, Yifei Ming, Xuan-Phi Nguyen, Yingyu Liang, Shafiq Joty
2024	—	`conf`	Domain Generalization via Nuclear Norm Regularization. CPAL Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
2024	J	`jnl`	FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". CoRR Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty
2024	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR 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
2024	A*	`conf`	HYPO: Hyperspherical Out-Of-Distribution Generalization. ICLR Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li
2024	J	`jnl`	HYPO: Hyperspherical Out-of-Distribution Generalization. CoRR Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li
2024	J	`jnl`	How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? Int. J. Comput. Vis. Yifei Ming, Yixuan Li
2024	A*	`conf`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. NeurIPS Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Sharon Li, Neel Joshi
2024	J	`jnl`	Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models. CoRR Jiayu Wang, Yifei Ming, Zhenmei Shi, Vibhav Vineet, Xin Wang, Neel Joshi
2024	—	`conf`	ReweightOOD: Loss Reweighting for Distance-based OOD Detection. CVPR Workshops Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai
2024	J	`jnl`	SFR-RAG: Towards Contextually Faithful LLMs. CoRR Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty
2024	A*	`conf`	Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models. ICML Yifei Ming, Yixuan Li
2024	J	`jnl`	Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models. CoRR Yifei Ming, Yixuan Li
2024	J	`jnl`	Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
2023	—	`conf`	A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 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	J	`jnl`	Domain Generalization via Nuclear Norm Regularization. CoRR Zhenmei Shi, Yifei Ming, Ying Fan, Frederic Sala, Yingyu Liang
2023	J	`jnl`	How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models? CoRR Yifei Ming, Yixuan Li
2023	A*	`conf`	How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection? ICLR Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
2022	J	`jnl`	Are Vision Transformers Robust to Spurious Correlations? CoRR Soumya Suvra Ghosal, Yifei Ming, Yixuan Li
2022	J	`jnl`	CIDER: Exploiting Hyperspherical Embeddings for Out-of-Distribution Detection. CoRR Yifei Ming, Yiyou Sun, Ousmane Dia, Yixuan Li
2022	A*	`conf`	Delving into Out-of-Distribution Detection with Vision-Language Representations. NeurIPS Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
2022	J	`jnl`	Delving into Out-of-Distribution Detection with Vision-Language Representations. CoRR Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, Yixuan Li
2022	A*	`conf`	On the Impact of Spurious Correlation for Out-of-Distribution Detection. AAAI Yifei Ming, Hang Yin, Yixuan Li
2022	A*	`conf`	Out-of-Distribution Detection with Deep Nearest Neighbors. ICML Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022	J	`jnl`	Out-of-distribution Detection with Deep Nearest Neighbors. CoRR Yiyou Sun, Yifei Ming, Xiaojin Zhu, Yixuan Li
2022	A*	`conf`	POEM: Out-of-Distribution Detection with Posterior Sampling. ICML Yifei Ming, Ying Fan, Yixuan Li
2022	J	`jnl`	POEM: Out-of-Distribution Detection with Posterior Sampling. CoRR Yifei Ming, Ying Fan, Yixuan Li
2022	A*	`conf`	SIREN: Shaping Representations for Detecting Out-of-Distribution Objects. NeurIPS Xuefeng Du, Gabriel Gozum, Yifei Ming, Yixuan Li
2022	—	`conf`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2021	A*	`conf`	Model-based Reinforcement Learning for Continuous Control with Posterior Sampling. ICML Ying Fan, Yifei Ming
2021	J	`jnl`	On the Impact of Spurious Correlation for Out-of-distribution Detection. CoRR Yifei Ming, Hang Yin, Yixuan Li
2020	J	`jnl`	Efficient Exploration for Model-based Reinforcement Learning with Continuous States and Actions. CoRR Ying Fan, Yifei Ming
2018	C	`conf`	Head pose estimation with neural networks from surveillant images. ICMV Yichao Cai, Xiao Zhou, Dachuan Li, Yifei Ming, Xingang Mou