Shilei Liu
8 papers · 2020–2026 · 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
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Core AI
(5)
Deep Learning
(4)
Machine Learning
(4)
Natural Language Processing
(3)
Architectures
(3)
Core Methods
(2)
Generation
(2)
Learning Types · Machine Learning
(2)
Application Areas
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Techniques
(1)
Keywords
catastrophic forgetting
(1)
zero-shot learning
(1)
link prediction
(1)
transfer learning
(1)
domain adaptation
(1)
feature extraction
(1)
weakly supervised learning
(1)
information extraction
(1)
question answering
(1)
dialogue generation
(1)
text summarization
(1)
low-resource learning
(1)
graph representation
(1)
knowledge base
(1)
token classification
(1)
domain knowledge
(1)
feature interaction
(1)
knowledge graph embedding
(1)
scaling law
(1)
contrastive 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
A Novel Global Feature-Oriented Relational Triple Extraction Model based on Table Filling
EMNLP 2021
A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation
EMNLP 2021
Knowledge Graph Embedding with Atrous Convolution and Residual Learning
COLING 2020
LMVE at SemEval-2020 Task 4: Commonsense Validation and Explanation Using Pretraining Language Model
SemEval 2020