5 citations · 5 across the 3 of their papers we have counts for
4 papers
How Well Can LLMs Simulate Real Learner Evaluations of Educational Feedback?
Momoka Furuhashi, Kouta Nakayama, Takashi Kodama +2
While recent studies have explored human behavior and preference simulation using large language models (LLMs), it remains unclear how well LLMs can simulate subjective evaluations…
Human-Grounded Multimodal Benchmark with 900K-Scale Aggregated Student Response Distributions from Japan's National Assessment of Academic Ability
Kyosuke Takami, Yuka Tateisi, Satoshi Sekine +1
Authentic school examinations provide a high-validity test bed for evaluating multimodal large language models (MLLMs), yet benchmarks grounded in Japanese K-12 assessments remain…
Investigating Learner-Aware Design of LLM-Generated Educational Feedback
Momoka Furuhashi, Kouta Nakayama, Noboru Kawai +3
Although large language models (LLMs) show promise for generating educational feedback, it remains unclear how feedback should be designed (e.g., tone and coverage) to support answ…
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
LLM-jp, :, Akiko Aizawa +80
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and stron…