3 papers
cs.CL2026
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 information coverage) to…
cs.CL2025
Are Checklists Really Useful for Automatic Evaluation of Generative Tasks?
Momoka Furuhashi, Kouta Nakayama, Takashi Kodama +1
Automatic evaluation of generative tasks using large language models faces challenges due to ambiguous criteria. Although automatic checklist generation is a potentially promising…
cs.CL2025
Automatic Feedback Generation for Short Answer Questions using Answer Diagnostic Graphs
Momoka Furuhashi, Hiroaki Funayama, Yuya Iwase +5
Short-reading comprehension questions help students understand text structure but lack effective feedback. Students struggle to identify and correct errors, while manual feedback c…