Working on NN/LLM Interpretability in RIKEN. Refer to https://www.hakaze-c.com/.
- [ICLR 2026] Mechanism of Task-oriented Information Removal in In-context Learning
Paper Repository - Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Paper Repository - [ICLR 2025] Revisiting In-context Learning Inference Circuit in Large Language Models
Paper Repository - [NAACL 2025 Main] Token-based Decision Criteria Are Suboptimal in In-context Learning
Paper Repository - [EMNLP 2025 BlackBox NLP workshop] Mechanistic Fine-tuning for In-context Learning
Paper Repository - [COLING 2025] Understanding Token Probability Encoding in Output Embeddings
Paper Repository - StaICC: Standardized Toolkit for In-context Classification
Paper Repository PyPl - NoisyICL: A Little Noise in Model Parameters Calibrates In-context Learning
Paper Repository


