Research paper benchmarking how effectively language model agents utilize skills in realistic, real-world scenarios beyond controlled lab environments. Evaluates agentic LLM capabilities and limitations for deployment.
Research
How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings
Agentic LLM skills show significant performance gaps between controlled benchmarks and realistic deployment environments, exposing real-world limitations for agent-based systems.
Tuesday, April 7, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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