Yu Takagi
Orcid: 0000-0003-0503-785X
According to our database1,
Yu Takagi
authored at least 14 papers
between 2018 and 2025.
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Bibliography
2025
Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality.
CoRR, June, 2025
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance.
CoRR, May, 2025
CoRR, March, 2025
Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective.
CoRR, February, 2025
2024
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs.
CoRR, 2024
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
Improving visual image reconstruction from human brain activity using latent diffusion models via multiple decoded inputs.
CoRR, 2023
High-resolution image reconstruction with latent diffusion models from human brain activity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2021
Neural dSCA: demixing multimodal interaction among brain areas during naturalistic experiments.
CoRR, 2021
2020
Demixed shared component analysis of neural population data from multiple brain areas.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits.
NeuroImage, 2019
2018
A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity.
NeuroImage, 2018