FoodMLLM-JP: Leveraging Multimodal Large Language Models for Japanese Recipe Generation. - Yuki Imajuku; Yoko Yamakata; Kiyoharu Aizawa (MMM (1), 2025)

JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation. - Shota Onohara; Atsuyuki Miyai; Yuki Imajuku; Kazuki Egashira; Jeonghun Baek; Xiang Yue; Graham Neubig; Kiyoharu Aizawa (NAACL (Long Papers), 2025)

Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search. - Kou Misaki; Yuichi Inoue 001; Yuki Imajuku; So Kuroki; Taishi Nakamura; Takuya Akiba (CoRR, 2025)

Sudoku-Bench: Evaluating creative reasoning with Sudoku variants. - Jeffrey Seely; Yuki Imajuku; Tianyu Zhao 001; Edoardo Cetin; Llion Jones (CoRR, 2025)

MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding. - Jeonghun Baek; Kazuki Egashira; Shota Onohara; Atsuyuki Miyai; Yuki Imajuku; Hikaru Ikuta; Kiyoharu Aizawa (CoRR, 2025)

ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm Engineering. - Yuki Imajuku; Kohki Horie; Yoichi Iwata; Kensho Aoki; Naohiro Takahashi; Takuya Akiba (CoRR, 2025)