17 citations · 50 across the 13 of their papers we have counts for
3 papers · 1 filter
Measuring How LLMs Internalize Human Psychological Concepts: A preliminary analysis
Hiro Taiyo Hamada, Ippei Fujisawa, Genji Kawakita +1
Large Language Models (LLMs) such as ChatGPT have shown remarkable abilities in producing human-like text. However, it is unclear how accurately these models internalize concepts t…
Decoding Vision Transformers: the Diffusion Steering Lens
Ryota Takatsuki, Sonia Joseph, Ippei Fujisawa +1
Logit Lens is a widely adopted method for mechanistic interpretability of transformer-based language models, enabling the analysis of how internal representations evolve across lay…
MCM: Multi-layer Concept Map for Efficient Concept Learning from Masked Images
Yuwei Sun, Lu Mi, Ippei Fujisawa +4
Masking strategies commonly employed in natural language processing are still underexplored in vision tasks such as concept learning, where conventional methods typically rely on f…