Phase Diagram of Vision Large Language Models Inference: A Perspective from Interaction across Image and Instruction. - Houjing Wei; Hakaze Cho; Yuting Shi; Naoya Inoue (CoRR, 2024)

Understanding Token Probability Encoding in Output Embeddings. - Hakaze Cho; Yoshihiro Sakai; Kenshiro Tanaka; Mariko Kato; Naoya Inoue (COLING, 2025)

Revisiting In-context Learning Inference Circuit in Large Language Models. - Hakaze Cho; Mariko Kato; Yoshihiro Sakai; Naoya Inoue (ICLR, 2025)

Token-based Decision Criteria Are Suboptimal in In-context Learning. - Hakaze Cho; Yoshihiro Sakai; Mariko Kato; Kenshiro Tanaka; Akira Ishii; Naoya Inoue (NAACL (Long Papers), 2025)

StaICC: Standardized Evaluation for Classification Task in In-context Learning. - Hakaze Cho; Naoya Inoue (CoRR, 2025)

Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations. - Mariko Kato; Hakaze Cho; Yoshihiro Sakai; Naoya Inoue (CoRR, 2025)

Mechanistic Fine-tuning for In-context Learning. - Hakaze Cho; Peng Luo; Mariko Kato; Rin Kaenbyou; Naoya Inoue (CoRR, 2025)

Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning. - Haolin Yang; Hakaze Cho; Yiqiao Zhong; Naoya Inoue (CoRR, 2025)