Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning. - Haolin Yang 003; Hakaze Cho; Yiqiao Zhong; Naoya Inoue (CoRR, 2025)

Binary Autoencoder for Mechanistic Interpretability of Large Language Models. - Hakaze Cho; Haolin Yang 003; Brian M. Kurkoski; Naoya Inoue (CoRR, 2025)

Mechanism of Task-oriented Information Removal in In-context Learning. - Hakaze Cho; Haolin Yang 003; Gouki Minegishi; Naoya Inoue (CoRR, 2025)

Task Vectors, Learned Not Extracted: Performance Gains and Mechanistic Insight. - Haolin Yang 003; Hakaze Cho; Kaize Ding; Naoya Inoue (CoRR, 2025)