AI RESEARCH
A Unified Framework for the Evaluation of LLM Agentic Capabilities
arXiv CS.AI
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ArXi:2605.27898v1 Announce Type: new As LLMs are increasingly deployed as agents, reliable assessment of their agentic capabilities has become essential. However, reported benchmark scores often jointly reflect model capability and the implementation choices each benchmark is packaged with, making cross-benchmark results difficult to interpret as clean measurements of the underlying model. In this work, we present a unified framework for the fair evaluation of LLM agentic capabilities.