Hakaze Cho

According to our database, Hakaze Cho authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning.

Haolin Yang, Hakaze Cho, Yiqiao Zhong, Naoya Inoue

CoRR, May, 2025

Mechanistic Fine-tuning for In-context Learning.

Hakaze Cho, Peng Luo, Mariko Kato, Rin Kaenbyou, Naoya Inoue

CoRR, May, 2025

Affinity and Diversity: A Unified Metric for Demonstration Selection via Internal Representations.

Mariko Kato, Hakaze Cho, Yoshihiro Sakai, Naoya Inoue

CoRR, February, 2025

StaICC: Standardized Evaluation for Classification Task in In-context Learning.

Hakaze Cho, Naoya Inoue

CoRR, January, 2025

Token-based Decision Criteria Are Suboptimal in In-context Learning.

Hakaze Cho, Yoshihiro Sakai, Mariko Kato, Kenshiro Tanaka, Akira Ishii, Naoya Inoue

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Revisiting In-context Learning Inference Circuit in Large Language Models.

Hakaze Cho, Mariko Kato, Yoshihiro Sakai, Naoya Inoue

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Token Probability Encoding in Output Embeddings.

Hakaze Cho, Yoshihiro Sakai, Kenshiro Tanaka, Mariko Kato, Naoya Inoue

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

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