Yudai Yamamoto, Masato Kikuchi, Tadachika Ozono:
Identity-Suppressed Facial Expression Recognition via Adversarial Learning and Dynamic Feature Masking,
The 25th Forum on Information Technology (FIT2026), 2026.

Takumi Kato, Yuko Sakurai, Masato Kikuchi, Tadachika Ozono, Masato Shinoda, Satoshi Oyama:
Searching for the Memory of Pieces in Hand : A Linear Probing Analysis in ShogiGPT,
The 25th Forum on Information Technology (FIT2026), 2026.

Shiori Nakamura, Masato Kikuchi, Tadachika Ozono:
Comparison of Real-World Data with LLM-Based Virtual Surveys under Specified Tones,
The 25th Forum on Information Technology (FIT2026), 2026.

Abdulmalik Ajibola Adeyemo, Masato Kikuchi, Tadachika Ozono:
Adaptive Research Student Mentoring via SRL-Aligned and Contestable AI Feedback,
The 22nd International Conference on Intelligent Tutoring Systems (ITS 2026)
Oral presentation: Session 3, 2026-06-03 14:00-15:30 (EEST)

Shiori Nakamura, Masato Kikuchi, Tadachika Ozono:
Analysis of LLM Choice Behavior under Stereotype-Based Tone Output Instructions,
The 40th Annual Conference of the Japanese Society for Artificial Intelligence
Poster presentation: 4Yin-B, 2026-06-11 15:00-16:30

Yoshihiro Hayashi, Masato Kikuchi, Tadachika Ozono:
An LLM-Based Iterative Proofreading System Using a Human-Readable Natural-Language Paper Checklist,
The 40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2026)
Poster presentation: 4Yin-B, 2026-06-11 15:00-16:30

Yudai Yamamoto, Masato Kikuchi, Tadachika Ozono:
一般的表現からの専門用語同定におけるLLM推論プロセスの段階分解について,
The 88th National Convention of IPSJ, vol.2, pp.1007–1008, 2026.
🏆 Award: Student Encouragement Award of the 88th National Convention of IPSJ (Yudai Yamamoto), 2026-03-07

鈴木伶奈, 菊地真人, 大囿忠親:
スライドオブジェクトの音声スクリプトへのLLMによる接地について
2/19(木) 13:30-13:50 SIG-AI(1)

安食皓平, 菊地真人, 大囿忠親:
学会開催情報収集システムのためのLLMに基づく一次情報源特定について
2/19(木) 14:40-15:00 SIG-AI(2)

Masato Kikuchi, Masatsugu Ono, Toshioki Soga, Tetsu Tanabe, Tadachika Ozono

CEFR-Annotated WordNet: LLM-Based Proficiency-Guided Semantic Database for Language Learning

自然言語処理の2nd Tier国際会議であるLREC 2026に上記の論文が採択されました（CORE Rank B、フルペーパー）。