Li-Ming Zhan
15 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(40)
π
Interdisciplinary Bridge
π
Keyword Champion
π€
Dynamic Duo
(13)
β
The Questioner
β‘
Prolific Year
(6)
π
Century Club
(13)
ποΈ
Keyword Collector
(62)
Conferences
ACL (4)
COLING (3)
EMNLP (2)
IJCNLP (2)
NIPS (2)
AAAI (1)
ICCV (1)
Top co-authors
Keywords
out-of-distribution detection
(6)
few-shot learning
(5)
discriminative training
(4)
dialogue system
(4)
intent detection
(4)
task-oriented dialogue
(3)
intent classification
(3)
self-supervised learning
(2)
catastrophic forgetting
(2)
continual learning
(2)
variational inference
(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)
multi-modal learning
(1)
Papers
GeoEdit: Geometric Knowledge Editing for Large Language Models
EMNLP 2025
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
ICCV 2025
How Good Are LLMs at Out-of-Distribution Detection?
COLING 2024
Continual Dialogue State Tracking via Reason-of-Select Distillation
ACL 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
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training
IJCNLP 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
NIPS 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
ACL 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
IJCNLP 2021
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training
ACL 2021
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020
A Closer Look at the Training Strategy for Modern Meta-Learning
NIPS 2020