Weimin Xiong
9 papers · 2023–2025 · 3 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
(18)
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Natural Language Processing
(6)
Core AI
(5)
Machine Learning
(4)
Applications
(4)
Learning Paradigms
(3)
Learning Types · Machine Learning
(3)
Optimization & Theory
(2)
Resources & Methods
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Methods
(1)
Keywords
large language model
(5)
contrastive learning
(3)
catastrophic forgetting
(2)
continual learning
(2)
few-shot learning
(1)
natural language processing
(1)
reinforcement learning
(1)
agent system
(1)
relation extraction
(1)
code generation
(1)
program synthesis
(1)
continuous optimization
(1)
mutual information maximization
(1)
language model
(1)
process supervision
(1)
retrieval-augmented generation
(1)
parameter-efficient fine-tuning
(1)
monte carlo method
(1)
information bottleneck
(1)
text classification
(1)
Papers
EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection
COLING 2025
MPO: Boosting LLM Agents with Meta Plan Optimization
EMNLP 2025
WIKIGENBENCH:Exploring Full-length Wikipedia Generation under Real-World Scenario
COLING 2025
WorkTeam: Constructing Workflows from Natural Language with Multi-Agents
NAACL 2025
AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories
EMNLP 2024
The Program Testing Ability of Large Language Models for Code
EMNLP 2024
Watch Every Step! LLM Agent Learning via Iterative Step-level Process Refinement
EMNLP 2024
InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective
EMNLP 2023
Rationale-Enhanced Language Models are Better Continual Relation Learners
EMNLP 2023