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Rethinking LLM Agent Evaluation: The New Criteria Proposed by AgentAtlas

Rethinking LLM Agent Evaluation: The New Criteria Proposed by AgentAtlas AgentAtlas: Beyond Outcome Leaderboards for LLM Agents is a paper released on arXiv in May 2026. It starts from a practical problem: LLM agents now operate across codebases, browsers, operating systems, calendars, files, and broader tool ecosystems, but the ways we evaluate them remain fragmented. Rather than assuming one leaderboard score can summarize agent quality, the paper argues that current evaluation has split into multiple partially overlapping dimensions that need to be considered together. [S4] [S4] AgentAtlas: what it is and why it appeared now AgentAtlas is presented as a response to a shift in what LLM agents actually do. According to the paper abstract, these agents are no longer limited to text-only tasks; they act on software repositories, web interfaces, operating systems, calendars, files, and tool ecosystems. As that scope expands, evaluation becomes harder, because different benchmarks meas...

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