Papers with GPT-4o-based agent

1 papers
The Behavior Gap: Evaluating Zero-shot LLM Agents in Complex Task-Oriented Dialogs (2025.findings-acl)

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Challenge: Recent studies show that LLM-based agents struggle to perform in zero-shot scenarios.
Approach: They propose a framework to quantify the behavior gap between AI agents and human experts . they propose to examine discrepancies in dialog acts, tool usage, and knowledge utilization .
Outcome: The proposed framework measures the behavior gap between AI agents and human experts on task-oriented dialogs.

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