Shuyue Hu

Squeeze the Soaked Sponge: Efficient Off-policy RFT for Large Language Model

PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System

Truly Assessing Fluid Intelligence of Large Language Models through Dynamic Reasoning Evaluation

Learning Compact Representations of LLM Abilities via Item Response Theory

Self-Aware Reinforcement Learning for Improving LLMs with Minimal Data

Emergence of Machine Language in LLM-based Agent Communication

Nature-Inspired Population-Based Evolution of Large Language Models

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs

ReMA: Learning to Meta-Think for LLMs with Multi-agent Reinforcement Learning

Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

OASIS: Open Agents Social Interaction Simulations on a Large Scale

Understanding When and Why Graph Attention Mechanisms Work via Node Classification