Weize Chen
20 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (11)
πΊοΈ
Taxonomy Completionist
(42)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(18)
β
The Questioner
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(80)
π
Century Club
(20)
Conferences
ACL (9)
EMNLP (4)
ICLR (4)
NIPS (2)
ICML (1)
Top co-authors
Keywords
large language model
(7)
multi-agent system
(6)
pre-trained language model
(4)
autonomous agent
(4)
transfer learning
(3)
software development
(3)
language model
(2)
parameter-efficient tuning
(2)
direct preference optimization
(1)
neural network optimization
(1)
graph analysis
(1)
loss landscape
(1)
natural language communication
(1)
agent communication
(1)
contrastive learning
(1)
document retrieval
(1)
conditional probability
(1)
code generation
(1)
parameter sharing
(1)
probability distribution
(1)
Papers
Multi-Agent Collaboration via Cross-Team Orchestration
ACL 2025
Scaling Large Language Model-based Multi-Agent Collaboration
ICLR 2025
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
ICLR 2025
AgentRM: Enhancing Agent Generalization with Reward Modeling
ACL 2025
Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
ACL 2025
Autonomous Agents for Collaborative Task under Information Asymmetry
NIPS 2024
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
NIPS 2024
Experiential Co-Learning of Software-Developing Agents
ACL 2024
ChatDev: Communicative Agents for Software Development
ACL 2024
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
EMNLP 2024
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
ICLR 2024
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
ICLR 2024
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
ACL 2023
Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models
EMNLP 2023
GACT: Activation Compressed Training for Generic Network Architectures
ICML 2022
Exploring Mode Connectivity for Pre-trained Language Models
EMNLP 2022
Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages
ACL 2022
Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning
EMNLP 2022
Fully Hyperbolic Neural Networks
ACL 2022
Quantifying Similarity between Relations with Fact Distribution
ACL 2019