Haibin Chen
10 papers · 2021–2026 · 2 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Core AI
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Machine Learning
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Deep Learning
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Natural Language Processing
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Learning Types Β· Machine Learning
(5)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
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Keywords
catastrophic forgetting
(3)
large language model
(2)
causal inference
(2)
named entity recognition
(2)
benchmark evaluation
(1)
multi-task learning
(1)
contrastive learning
(1)
token classification
(1)
mathematical reasoning
(1)
knowledge transfer
(1)
relation extraction
(1)
question answering
(1)
curriculum learning
(1)
cross-domain learning
(1)
text summarization
(1)
commonsense knowledge
(1)
hierarchical text classification
(1)
semantic matching
(1)
graph matching
(1)
continual learning
(1)
Papers
CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling
ACL 2026
Read As Human: Compressing Context via Parallelizable Close Reading and Skimming
ACL 2026
SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification
ACL 2026
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
EMNLP 2025
ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models
ACL 2024
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
ACL 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
ACL 2023
Cross-domain Named Entity Recognition via Graph Matching
ACL 2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
EMNLP 2022
Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification
ACL 2021