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Survey on Evaluation of LLM-based Agents

Eval & Observability arxiv arXiv:2503.16416 PDF โ†—
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LLM-based agents represent a paradigm shift in AI, enabling autonomous systems to plan, reason, and use tools while interacting with dynamic environments. This paper provides the first comprehensive survey of evaluation methods for these increasingly capable agents. We analyze the field of agent eva
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ํŒ๋‹จ: ์–ด๋–ค ๋ฌธ์ œ๋ฅผ ํ’€๊ณ  / ํ•ต์‹ฌ ์•„์ด๋””์–ด / ๋‚ด ์ž‘์—…๊ณผ ๊ด€๋ จ ์žˆ๋‚˜?
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์‚ฐ์ถœ๋ฌผ: "์ด๋“ค์ด ๋ญ˜ ํ–ˆ๊ณ  ์™œ ๊ทธ๊ฒŒ ํ†ตํ•˜๋Š”๊ฐ€" ํ•œ ๋ฌธ๋‹จ.
์žฌํ˜„ํ•˜๋“ฏ ์ฝ๊ธฐ. ๊ฐ€์ •์„ ์˜์‹ฌ. ์ง์ ‘ ์ธ์šฉ/๋ฐ˜๋ฐ•ํ•  ๋…ผ๋ฌธ๋งŒ.
๋ Œ์ฆˆ: "๋‚ด ํ”Œ๋ฆฟ์—์„œ ์ธก์ •ํ•˜๋ฉด ์ €์ž๊ฐ€ ๋ชป ํ•œ ๋ฌด์—‡์„ ๋ณด์—ฌ์ค„ ์ˆ˜ ์žˆ๋‚˜?"
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