Papers
1–2 of 2Research Paper·Jan 30, 2026
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Large language models (LLMs) are widely used as reference-free evaluators via prompting, but this "LLM-as-a-Judge" paradigm is costly, opaque, and sensitive to prompt design. In this work, we investig...
5.0 viability
Research Paper·Feb 12, 2026
STAR : Bridging Statistical and Agentic Reasoning for Large Model Performance Prediction
As comprehensive large model evaluation becomes prohibitively expensive, predicting model performance from limited observations has become essential. However, existing statistical methods struggle wit...
5.0 viability