Li-Ming Zhan
12 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (36)
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Research topics
Machine Learning
(10)
Artificial Intelligence
(9)
Learning Types Β· Machine Learning
(7)
Natural Language Processing
(5)
Core AI
(5)
Core Methods
(5)
Deep Learning
(4)
Applications
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Optimization & Theory
(3)
Learning Paradigms Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
few-shot learning
(5)
out-of-distribution detection
(4)
variational inference
(2)
catastrophic forgetting
(2)
intent classification
(2)
self-supervised learning
(2)
dialogue system
(2)
continual learning
(2)
task-oriented dialogue
(2)
intent detection
(2)
medical imaging
(1)
visual question answering
(1)
text classification
(1)
metric learning
(1)
contrastive learning
(1)
embedding space
(1)
explainable ai
(1)
domain adaptation
(1)
incremental learning
(1)
multimodal learning
(1)
Papers
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
ICCV 2025
GeoEdit: Geometric Knowledge Editing for Large Language Models
EMNLP 2025
Continual Dialogue State Tracking via Reason-of-Select Distillation
ACL 2024
How Good Are LLMs at Out-of-Distribution Detection?
COLING 2024
VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection
COLING 2024
A Closer Look at Few-Shot Out-of-Distribution Intent Detection
COLING 2022
New Intent Discovery with Pre-training and Contrastive Learning
ACL 2022
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
ACL 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
NeurIPS 2021
A Closer Look at the Training Strategy for Modern Meta-Learning
NeurIPS 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020