activity
20222026
most citedGeneralized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

4 citations · 12 across the 20 of their papers we have counts for

collaborators

21 papers

cs.CL2026

Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection

Atsuyuki Miyai, Kiyoharu Aizawa, Toshihiko Yamasaki

We present a novel approach to efficient LLM harness optimization through adaptive validation task selection. Harness optimization iteratively rewrites the harness code based on va…

cs.CV2026

360CityArena: A Realistic Virtual Urban Navigation Benchmark for Embodied Agents

Kenta Watanabe, Atsuyuki Miyai, Mizuki Takenawa +2

We present 360CityArena, a benchmark for evaluating the urban exploration capabilities of embodied agents within a photorealistic environment constructed from 360-degree videos. Ex…

cs.CL2026

Manga109-v2026: Revisiting Manga109 Annotations for Modern Manga Understanding

Jeonghun Baek, Atsuyuki Miyai, Shota Onohara +2

Manga is a culturally distinctive multimodal medium and one of the most influential forms of Japanese popular culture. As AI systems increasingly target manga understanding, OCR, a…

cs.CL2026

Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers

Atsuyuki Miyai, Mashiro Toyooka, Zaiying Zhao +3

This paper introduces the first systematic evaluation framework for quantifying the quality and risks of papers written by modern coding agents. While AI-driven paper writing has b…

cs.CL2025

JMMMU-Pro: Image-based Japanese Multi-discipline Multimodal Understanding Benchmark via Vibe Benchmark Construction

Atsuyuki Miyai, Shota Onohara, Jeonghun Baek +1

This paper introduces JMMMU-Pro, an image-based Japanese Multi-discipline Multimodal Understanding Benchmark, and Vibe Benchmark Construction, a scalable construction method. Follo…

cs.AI2025

Jr. AI Scientist and Its Risk Report: Autonomous Scientific Exploration from a Baseline Paper

Atsuyuki Miyai, Mashiro Toyooka, Takashi Otonari +2

Understanding the current capabilities and risks of AI Scientist systems (autoresearch) is essential for ensuring trustworthy and sustainable AI-driven scientific progress while pr…