3 papers
cs.CL2024
Developing a Tutoring Dialog Dataset to Optimize LLMs for Educational Use
Menna Fateen, Tsunenori Mine
Recent advances in large language models (LLMs) have shown promise for scalable educational applications, but their use in dialog-based tutoring systems remains challenging due to…
cs.CL2024
One Stone, Four Birds: A Comprehensive Solution for QA System Using Supervised Contrastive Learning
Bo Wang, Tsunenori Mine
This paper presents a novel and comprehensive solution to enhance both the robustness and efficiency of question answering (QA) systems through supervised contrastive learning (SCL…
cs.CL2024
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback
Menna Fateen, Bo Wang, Tsunenori Mine
Automatic short answer scoring (ASAS) helps reduce the grading burden on educators but often lacks detailed, explainable feedback. Existing methods in ASAS with feedback (ASAS-F) r…