Weize Chen

From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones

CPMöbius: Iterative Coach–Player Reasoning for Data-Free Reinforcement Learning

Process Reinforcement through Implicit Rewards

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence

The Overthinker's DIET: Cutting Token Calories with DIfficulty-AwarE Training

Scaling Large Language Model-based Multi-Agent Collaboration

Multi-Agent Collaboration via Evolving Orchestration

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System

AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems