3 papers
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.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…
cs.MM2025
A Highly Clean Recipe Dataset with Ingredient States Annotation for State Probing Task
Mashiro Toyooka, Kiyoharu Aizawa, Yoko Yamakata
Large Language Models (LLMs) are trained on a vast amount of procedural texts, but they do not directly observe real-world phenomena. In the context of cooking recipes, this poses…