No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding

Researchers have introduced BFF-Bench, a dataset evaluating large language models' (LLMs) performance in business and finance domains, revealing limitations in using LLMs to judge response quality accurately without human grounding. This finding is crucial for developers as it underscores the necessity of incorporating human oversight when deploying LLMs in high-stakes environments where accuracy is paramount.

Read the full article at arXiv cs.CL (NLP)

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