Atsuyuki Miyai — accepted AI-conference papers

2025

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie +4

ACL 2025long

This paper introduces a novel task to evaluate the robust understanding capability of Large Multimodal Models (LMMs), termed Unsolvable Problem Detection (UPD). Multiple-choice question answering (MCQA) is widely used to assess the understanding capability of LMMs, but it does not guarantee that LMM…

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2023

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

NeurIPS 2023poster

We present a novel vision-language prompt learning approach for few-shot out-of-distribution (OOD) detection. Few-shot OOD detection aims to detect OOD images from classes that are unseen during training using only a few labeled in-distribution (ID) images. While prompt learning methods such as CoOp…

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