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Chuyi He

2 accepted papers

2026

Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL

ICLR 2026poster

Recent advancements in LLM-based agents have demonstrated remarkable capabilities in handling knowledge-intensive tasks using external tools. One representative example is search agent. Existing open-source search agents heavily rely on advanced commercial LLMs: they either collect trajectories from…

Cited by 0SourcecodeScholar
2025

AREAL: A Large-Scale Asynchronous Reinforcement Learning System for Language Reasoning

NeurIPS 2025poster

Reinforcement learning (RL) has become a trending paradigm for training large language models (LLMs), particularly for reasoning tasks. Effective RL for LLMs requires massive parallelization and poses an urgent need for efficient training systems. Most existing large-scale RL systems for LLMs are sy…

Cited by 0SourcecodeScholar