AI Research
Codifying the Judge: Scalable Evaluation via Program Distillation
LLM-as-a-judge has become the standard for automated evaluation, but it suffers from high cost, significant latency, and opaque decisions -- limitations that undermine its scalability and reliability. We address these with a simple, efficient alternative: program distillation. In...
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ArXiv CS.AI
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ArXiv CS.AI
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This research tackles the scalability and cost issues of using LLMs for evaluation by distilling their decision logic into more efficient programs. This approach offers transparency and significant cost savings, making automated evaluation more accessible and reliable.
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