AI Research

    ToolTurns: Benchmarking LLM Agents in Multi-Turn Dialogue

    A benchmark focused on tool use across multi-turn conversations

    Tool-using language models are increasingly deployed in conversational settings, yet most large-scale tool-use benchmarks focus on isolated requests.

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    ArXiv CS.CL

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    ArXiv CS.CL
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    As tool-using language models move into conversations, evaluating them only on isolated requests may miss how they handle multi-turn interactions. A benchmark focused on dialogue could help assess that gap.

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