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

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#MATH

Self-Rewarding Sequential Monte Carlo for Masked Diffusion Language Models

Intermediate
Ziwei Luo, Ziqi Jin et al.Feb 2arXiv

The paper introduces a new way to sample text from masked diffusion language models that is smarter and less greedy.

#masked diffusion language models#sequential Monte Carlo#self-rewarding sampling

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