Deli Chen
15 papers · 2019–2024 · 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· Bronze πΊοΈ Taxonomy Completionist (38)
π
Keyword Champion
(2)
π€
Dynamic Duo
(11)
ποΈ
Keyword Collector
(82)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Deep Learning
(8)
Application Areas
(6)
Core AI
(6)
Natural Language Processing
(5)
Architectures
(5)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(4)
Resources & Methods
(4)
Applications
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Keywords
graph neural network
(4)
large language model
(3)
stock movement prediction
(2)
expert specialization
(2)
finance news
(2)
mixture of expert
(2)
semi-supervised node classification
(2)
relational learning
(1)
label propagation
(1)
reinforcement learning
(1)
in-context learning
(1)
word sense disambiguation
(1)
lexical semantics
(1)
extractive summarization
(1)
knowledge distillation
(1)
graph representation learning
(1)
transfer learning
(1)
model architecture
(1)
message passing
(1)
text summarization
(1)
Papers
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
ACL 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
EMNLP 2024
Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations
ACL 2024
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
ICLR 2024
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias
ACL 2023
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
NeurIPS 2023
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning
EMNLP 2023
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification
IJCAI 2022
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
EMNLP 2021
Leveraging Word-Formation Knowledge for Chinese Word Sense Disambiguation
EMNLP 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification
NeurIPS 2021
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View
AAAI 2020
Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
IJCAI 2020
Group, Extract and Aggregate: Summarizing a Large Amount of Finance News for Forex Movement Prediction
EMNLP 2019
Incorporating Fine-grained Events in Stock Movement Prediction
EMNLP 2019