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CATArena: Evaluation of LLM Agents through Iterative Tournament Competitions

arXiv — cs.CL•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The recent introduction of CATArena marks a significant advancement in evaluating Large Language Model (LLM) agents. Unlike traditional benchmarks that focus on fixed scenarios, CATArena utilizes iterative tournament competitions to assess the evolving capabilities of these agents. This approach not only enhances the evaluation process but also encourages LLMs to develop a broader range of skills. As AI technology continues to progress, such innovative evaluation methods are crucial for ensuring that these models can effectively tackle complex tasks in real-world applications.
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