17 citations · 50 across the 13 of their papers we have counts for
13 papers
A 1000-hour EEG-EMG-audio dataset of Japanese speech production
Motoshige Sato, Ilya Horiguchi, Masakazu Inoue +6
We present a multimodal dataset of 1020 hours of simultaneously recorded scalp electroencephalography (EEG), facial electromyography (EMG), and speech audio from three healthy nati…
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…
ProcBench: Benchmark for Multi-Step Reasoning and Following Procedure
Ippei Fujisawa, Sensho Nobe, Hiroki Seto +5
Reasoning is central to a wide range of intellectual activities, and while the capabilities of large language models (LLMs) continue to advance, their performance in reasoning task…
Remembering Transformer for Continual Learning
Yuwei Sun, Ippei Fujisawa, Arthur Juliani +2
Neural networks encounter the challenge of Catastrophic Forgetting (CF) in continual learning, where new task learning interferes with previously learned knowledge. Existing data f…
Logical Tasks for Measuring Extrapolation and Rule Comprehension
Ippei Fujisawa, Ryota Kanai
Logical reasoning is essential in a variety of human activities. A representative example of a logical task is mathematics. Recent large-scale models trained on large datasets have…
Kerr/Fluid Duality and Singularity of Solutions to the Fluid Equation
Ippei Fujisawa, Ryuichi Nakayama
An equation for a viscous incompressible fluid on a spheroidal surface which is dual to the perturbation around the near-near horizon extreme Kerr (n-NHEK) black hole is derived. I…
Surface-Charge Algebra via Hamiltonian Framework
Ippei Fujisawa, Ryuichi Nakayama
Surface-charge algebra associated with BMS symmetry on the null infinity of asymptotically flat spacetime is studied via the Hamiltonian framework. A coordinate system, where b…
Quantization of a Scalar Field in Two Poincaré Patches of Anti-de Sitter Space and AdS/CFT
Ippei Fujisawa, Ryuichi Nakayama
Two sets of modes of a massive free scalar field are quantized in a pair of Poincaré patches of Lorentzian anti-de Sitter (AdS) space, AdS (). It is shown that in…
AdS/CFT for 3D Higher-Spin Gravity Coupled to Matter Fields
Ippei Fujisawa, Kenta Nakagawa, Ryuichi Nakayama
New holographic prescription for the model of 3d higher-spin gravity coupled to real matter fields and , which was introduced in ArXiv:1304.7941[hep-th], is formulated.…
Metric-Like Formalism for Matter Fields Coupled to 3D Higher Spin Gravity
Ippei Fujisawa, Ryuichi Nakayama
Action integral for a matter system composed of 0- and 2-forms, and , topologically coupled to 3D spin-3 gravity is considered first in the frame-like formalism. The fi…
Second-Order Formalism for 3D Spin-3 Gravity
Ippei Fujisawa, Ryuichi Nakayama
A second-order formalism for the theory of 3D spin-3 gravity is considered. Such a formalism is obtained by solving the torsion-free condition for the spin connection ω^a_μ, and su…