Prompt Sensitivity of Language Model for Solving Programming Problems. - Atsushi Shirafuji; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001; Yutaka Watanobe (SoMeT, 2022)

Refactoring Programs Using Large Language Models with Few-Shot Examples. - Atsushi Shirafuji; Yusuke Oda; Jun Suzuki 001; Makoto Morishita; Yutaka Watanobe (APSEC, 2023)

Analysis of the Programming Languages Preferred by Novice Programmers for Solving Programming Problem. - Md. Faizul Ibne Amin; Md. Mostafizer Rahman; Atsushi Shirafuji; Yutaka Watanobe (ASSE, 2023)

Enhancing Programming Learning with LLMs: Prompt Engineering and Flipped Interaction. - Brendan Cowan; Yutaka Watanobe; Atsushi Shirafuji (ASSE, 2023)

Deduplicating and Ranking Solution Programs for Suggesting Reference Solutions. - Atsushi Shirafuji; Yutaka Watanobe (ASSE, 2023)

Program Repair with Minimal Edits Using CodeT5. - Atsushi Shirafuji; Md. Mostafizer Rahman; Md. Faizul Ibne Amin; Yutaka Watanobe (iCAST, 2023)

Rule-Based Error Classification for Analyzing Differences in Frequent Errors. - Atsushi Shirafuji; Taku Matsumoto; Md. Faizul Ibne Amin; Yutaka Watanobe (TALE, 2023)

Exploring the Robustness of Large Language Models for Solving Programming Problems. - Atsushi Shirafuji; Yutaka Watanobe; Takumi Ito; Makoto Morishita; Yuki Nakamura; Yusuke Oda; Jun Suzuki 001 (CoRR, 2023)

Exploring Automated Code Evaluation Systems and Resources for Code Analysis: A Comprehensive Survey. - Md. Mostafizer Rahman; Yutaka Watanobe; Atsushi Shirafuji; Mohamed Hamada 001 (CoRR, 2023)

Multi-Label Code Error Classification Using CodeT5 and ML-KNN. - Md. Faizul Ibne Amin; Atsushi Shirafuji; Md. Mostafizer Rahman; Yutaka Watanobe (IEEE Access, 2024)

Big Coding Data: Analysis, Insights, and Applications. - Md. Mostafizer Rahman; Atsushi Shirafuji; Yutaka Watanobe (IEEE Access, 2024)

Source Code Error Understanding Using BERT for Multi-Label Classification. - Md. Faizul Ibne Amin; Yutaka Watanobe; Md. Mostafizer Rahman; Atsushi Shirafuji (IEEE Access, 2025)