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Tarin Clanuwat

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#artificial intelligence Review Oct 2026

Beyond Imitation: A Framework and Benchmark for LLM-Assisted Peer Review

The rapid growth of scientific publishing has strained peer review, particularly in machine learning, raising concerns about declining review quality and increasing reviewer workload. Large language models (LLMs) have been proposed as automated review assistants, yet their evaluation has focused largely on imitating hu...

Rachel S. Y. Teo, Yutaro Yamada, Shashank Kotyan et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Prior-Conditioned Gaussian Discriminants for Generalizable AI-generated Image Detection

Strong sensitivity to the training prior, data-efficiency of moment-based heads, and representation dependence of Gaussian shift metrics, motivating (prior, encoder, head)-level reporting and stronger analytical baselines for AIGI transfer are quantified.

Shashank Kotyan, Makoto Shing, Yuki Imajuku et al. · 0 citations

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