الباحثون

Xuehang Guo

المنشورات 2

نسخة أولية وصول مفتوح

Pay for the Fault, Not the Flow: Label-Free In-Flow Multi-Agent Workflow Optimization

Xuehang Guo, Haoyu Wang, Shengyu Chen وآخرون · 2026

Large language models (LLMs) increasingly construct multi-agent workflows that decompose a complex task and assign specialist agents from a pool. However, building such a workflow well remains challenging: how finely to divide the task, which agent to trust with each subtask, and when to create a new specialist are all …

نسخة أولية وصول مفتوح

It Takes Workflows to Evolve Better Workflows

Xuehang Guo, Haoyu Wang, Haifeng Chen وآخرون · 2026

Tackling complex real-world tasks can exceed the capabilities of a single large language model (LLM), motivating the use of multi-agent workflows that coordinate specialized agents to work together on these tasks. Recent methods train LLMs to construct better workflows from execution outcomes, but they optimize only th …

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