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UniACE: A Unified Framework for Evaluating LLM Agentic Capabilities

Zhu, Pengyu et al.
arXiv (All) · Papers
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artificial-intelligence
Agent benchmarks are increasingly used to compare large language models (LLMs) across domains, yet a reported score reflects a complete model--harness--environment configuration rather than the model alone. Benchmark packages couple native tasks with specific prompts, tool protocols, orchestration l
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