Papers with Self-Play Agent Customization module

    1 papers
    AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents (2026.findings-acl)

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    Challenge: Large Language Model (LLM) agents have demonstrated remarkable capabilities in task automation and intelligent decision-making.
    Approach: They propose a Fully-Automated and highly Self-Developing framework that enables users to create and deploy LLM agents using natural language alone.
    Outcome: AutoAgent is a fully-automated and highly self-developing framework that enables users to create and deploy LLM agents using natural language alone.

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