AI RESEARCH
RPRA: Predicting an LLM-Judge for Efficient but Performant Inference
arXiv CS.AI
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ArXi:2604.12634v1 Announce Type: new Large language models (LLMs) face a fundamental trade-off between computational efficiency (e.g., number of parameters) and output quality, especially when deployed on computationally limited devices such as phones or laptops.