Chengcheng Han
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(24)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Core AI
(3)
Generation
(3)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Keywords
large language model
(2)
black-box tuning
(2)
few-shot learning
(2)
derivative-free optimization
(2)
prompt engineering
(1)
named entity recognition
(1)
black-box optimization
(1)
gradient descent
(1)
knowledge distillation
(1)
monte carlo tree search
(1)
ai safety
(1)
adversarial attack
(1)
proximal policy optimization
(1)
evaluation metric
(1)
prompt optimization
(1)
inference efficiency
(1)
red teaming
(1)
multi-turn dialogue
(1)
residual connection
(1)
dialogue safety
(1)
Papers
MUSE: MCTS-Driven Red Teaming Framework for Enhanced Multi-Turn Dialogue Safety in Large Language Models
EMNLP 2025
RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation
ACL 2025
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
EMNLP 2024
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition
COLING 2024
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives
COLING 2024
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
EMNLP 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
ACL 2023
Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification
ACL 2021