Changqun Li
7 papers · 2022–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(20)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(6)
Learning Types · Machine Learning
(4)
Deep Learning
(3)
Application Areas
(3)
Artificial Intelligence
(2)
Applications
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Understanding
(2)
Core AI
(1)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Models
(1)
Keywords
knowledge distillation
(2)
large language model
(2)
social media
(2)
named entity recognition
(2)
attention mechanism
(1)
weakly supervised learning
(1)
in-context learning
(1)
multimodal learning
(1)
text summarization
(1)
prompt learning
(1)
parallel inference
(1)
parameter-efficient tuning
(1)
inference acceleration
(1)
speculative decoding
(1)
dialogue summarization
(1)
abstractive summarization
(1)
emotion-cause pair extraction
(1)
annotation guideline
(1)
multimodal relation extraction
(1)
domain disentanglement
(1)
Papers
Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting
AAAI 2026
GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition
AAAI 2025
MRE-MI: A Multi-image Dataset for Multimodal Relation Extraction in Social Media Posts
NAACL 2025
Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement
NAACL 2024
MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation
EMNLP 2024
MNER-MI: A Multi-image Dataset for Multimodal Named Entity Recognition in Social Media
COLING 2024
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
EMNLP 2022