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Minmin Hou

2 accepted papers

2026

Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs

ICLR 2026poster

Multi-Agent System (MAS) and Reinforcement Learning (RL) are both widely adopted to improve large language model (LLM) agentic performance. MAS strengthens task-specialized performance via role-based orchestration; RL leverages environment rewards to train stronger policies, such as Group Relative P…

Cited by 0SourcecodeScholar
2025

HELMET: How to Evaluate Long-context Models Effectively and Thoroughly

ICLR 2025poster

Many benchmarks exist for evaluating long-context language models (LCLMs), yet developers often rely on synthetic tasks such as needle-in-a-haystack (NIAH) or an arbitrary subset of tasks. However, it remains unclear whether these benchmarks reflect the diverse downstream applications of LCLMs, and…

Cited by 0SourcePDFScholar