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How I Study AI - Learn AI Papers & Lectures the Easy Way

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Sci-CoE: Co-evolving Scientific Reasoning LLMs via Geometric Consensus with Sparse Supervision

Intermediate
Xiaohan He, Shiyang Feng et al.Feb 12arXiv

Sci-CoE is a two-stage training method that helps one language model learn to both solve science problems and check those solutions with very little labeled data.

#scientific reasoning#co-evolution#solver-verifier

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

Intermediate
Zhuochun Li, Yong Zhang et al.Jan 30arXiv

Big models are often used to grade AI answers, but they are expensive, slow, and depend too much on tricky prompts.

#Representation-as-a-Judge#Semantic Capacity Asymmetry#LLM-as-a-Judge