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Yutaka Matsuo
Observed name:
Matsuo, Yutaka
Institution:
The University of Tokyo
Observed institution:
The University of Tokyo
ORCID:
0000-0002-2106-8907
Observed ORCID:
0000-0002-2106-8907
OpenAlex ID:
A5130334392
CityNav: A Large-Scale Dataset for Real-World Aerial Navigation
2025
·
Jungdae Lee
, Taiki Miyanishi
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
12
PDF
When medical AI fails outside English
2026
·
Irene Li
, Hardy Kagimoto
, et al.
·
BMJ Digital Health & AI
·
1
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
2026
·
Qi Cao
, Andrew Gambardella
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
·
1
PDF
ClinDet-Bench: Beyond Abstention, Evaluating Judgment Determinability of LLMs in Clinical Decision-Making
2026
·
Yusuke Watanabe
, Yohei Kobashi
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
1
PDF
Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation
2026
·
Yanzhou Jin
, Adam J. Spiers
, et al.
·
Advanced Intelligent Systems
PDF
Auditing Instruction–Trajectory Mismatches in Multimodal Robot Demonstrations
2026
·
Simon Holk
, Ryosuke Takanami
, et al.
·
IEEE Robotics and Automation Letters
PDF
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
2026
·
Cao, Qi
, Gambardella, Andrew
, et al.
·
arXiv (Cornell University)
PDF
One-shot Portrait Stylization via Geometric Alignment
2026
·
Xinrui Wang
, Zilin Guo
, et al.
·
IEEE Winter Conference on Applications of Computer Vision
Infinity-MoE: Generalizing Mixture of Experts to Infinite Experts
2026
·
Shota Takashiro
, Takeshi Kojima
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
PDF
Revealing Redundant Syntax in Large Language Models through Multi-Hop Dependency Paths
2026
·
Masaki Sashida
, Takeshi Kojima
, et al.
·
Findings of the Association for Computational Linguistics: EACL
PDF
Clustered Self-Assessment: A Simple yet Effective Method for Uncertainty Quantification in Large Language Models
2026
·
Qi Cao
, Takeshi Kojima
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Understanding Emergent Misalignment via Feature Superposition Geometry
2026
·
Gouki Minegishi
, Hiroki Furuta
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
2025
·
Yohei Kobashi
, Fumiya Uchiyama
, et al.
·
International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL)
PDF
Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
2025
·
Toshinori Kitamura
, Arnob Ghosh
, et al.
·
neural information processing systems
PDF
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Works count:
14
Citation count:
15
H-index:
1
I10-index:
1
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