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Ryotaro Shimizu

SIGIR 2026×2NeurIPS 2026多模态评测与基准可解释性社会与人本对齐与偏好
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1 一作 · 3 篇 · SIGIR 2026 / NeurIPS 2026

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2026 顶会论文

3
作者位次 #2/4NeurIPS 2026Poster· Social Aspects / Accountability, Transparency and Interpretability

Transferring Visual Explainability from Self-Explaining to Prediction-Only Vision Transformers via Task Arithmetic

Yuya Yoshikawa · Ryotaro Shimizu · Takahiro Kawashima · Yuki Saito

多模态可解释性社会与人本OpenReview
作者位次 #2/7SIGIR 2026Poster· Information Retrieval (Short)

ZoRRO: A Zero-Weight Personalized Recommender System for Scalable News Recommendation

Johannes Kruse · Ryotaro Shimizu · Kasper Lindskow · Jon Tofteskov · Michael Riis Andersen · Julian J. McAuley · Jes Frellsen

摘要

In this paper, we present ZoRRO (Zero-Weight Personalized Recommender System), a zero-weight and training-free framework for personalized news recommendation designed for scalable real-world deployment. We show that ZoRRO outperforms strong neural baselines in offline ranking evaluations and deli...

对齐与偏好效率与系统评测与基准OpenReview
一作SIGIR 2026Poster· Information Retrieval (Industry)

Preliminary Study of an Evaluation Benchmark for Vision–Language Models in Fashion E-Commerce

Ryotaro Shimizu · Sai Htaungkham · Shion Sakurai · Yuki Shimizu

摘要

We report an evaluation benchmark for assessing the operational suitability of Vision-Language Models (VLMs) in fashion e-commerce. General-purpose benchmarks do not adequately cover fashion-specific attributes or the structured extraction tasks common in e-commerce workflows. We define five task...

多模态评测与基准检索与知识OpenReview

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