Author

Yuki Imajuku

h-index 6 View on Semantic Scholar

We have 3 of 11 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#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. · Trans. Mach. Learn. Res. · 0 citations

Review

Feedback-to-Rubrics: Can We Extract Expert Criteria from Inline Comments?

This work proposes Feedback-to-Rubrics, a problem setting for learning criteria from inline comments on artifacts, which infers rubrics from these comments and iteratively refines them by observing errors in comment prediction based on the inferred rubrics.

Kotaro Yoshida, So Kuroki, Yuki Imajuku 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