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Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry

Researchers propose a Representation-as-a-Judge method that leverages the internal representations of small language models to evaluate outputs efficiently without relying on text generation.

Impact
52/100
Current rank score
26.21
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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