Papers by Mingdao Liu

1 papers
AgentTuning: Enabling Generalized Agent Abilities for LLMs (2024.findings-acl)

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Challenge: Open large language models (LLMs) with great performance in various tasks are far inferior to commercial models such as ChatGPT and GPT-4 when acting as agents to tackle complex tasks in the real world.
Approach: They propose a method to enhance the agent capabilities of LLMs while maintaining their general abilities.
Outcome: The AgentLM-70B is comparable to GPT-3.5-turbo on unseen agent tasks, demonstrating generalized agent capabilities.

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