Yifei Ming
18 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(11)
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Grand Slam
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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The Questioner
(3)
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Keyword Collector
(88)
Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(10)
Deep Learning
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(9)
Learning Types Β· Deep Learning
(7)
Natural Language Processing
(6)
Application Areas
(6)
Resources & Methods
(5)
Computer Vision
(3)
Applications
(3)
Core Methods
(3)
Optimization & Theory Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Models
(2)
Keywords
out-of-distribution detection
(7)
large language model
(4)
vision-language model
(3)
retrieval-augmented generation
(2)
multimodal learning
(2)
domain adaptation
(2)
representation learning
(2)
posterior sampling
(2)
benchmark evaluation
(2)
document understanding
(1)
model evaluation
(1)
question answering
(1)
transfer learning
(1)
zero-shot learning
(1)
cross-lingual transfer
(1)
multilingual nlp
(1)
instruction following
(1)
cross-modal retrieval
(1)
preference learning
(1)
confidence calibration
(1)
Papers
Hard2Verify: A Step-Level Verification Benchmark for Open-Ended Frontier Math
ACL 2026
Adaptation of Large Language Models
NAACL 2025
Demystifying Domain-adaptive Post-training for Financial LLMs
EMNLP 2025
Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
ACL 2025
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"
ICLR 2025
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
ACL 2025
HYPO: Hyperspherical Out-Of-Distribution Generalization
ICLR 2024
Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
NeurIPS 2024
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
ICML 2024
A Critical Analysis of Document Out-of-Distribution Detection
EMNLP 2023
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
ICLR 2023
Delving into Out-of-Distribution Detection with Vision-Language Representations
NeurIPS 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection
AAAI 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
ICML 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
ICML 2022
SIREN: Shaping Representations for Detecting Out-of-Distribution Objects
NeurIPS 2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
EMNLP 2022
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling
ICML 2021