category

Dr. Hayashi Gave a Talk at the Computational Scale Science Workshop

2025-12-10

  • report
On December 3 (Wed.), 2025, at the 1st Computational Scale Science Workshop (SIG-CSS), Lecturer Haya…
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We held the 1st session on Special Interest Group on Data Collaboration (SIG-DC)

2025-12-09

  • report
  • research
On December 1 (Mon.), 2025, at Keio University, we held the 1st Data Collaboration Research Group (S…
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We delivered five oral presentations from our lab at SIGAIs 2025

2025-12-09

  • research
On December 1 (Mon.)–3 (Wed.), 2025, at Keio University, M2 students Mr. Sashihara and Mr. Yamamoto,…
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Five students from our lab presented posters at SIGAIs2025

2025-12-09

  • research
On December 1 (Mon.)–3 (Wed.), 2025, at Keio University, five students from our lab presented poster…
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Preprint Published on "Reputation System Design for Manufacturing Data Markets"

2025-12-06

  • article
We have released a new preprint on arXiv about "Designing Reputation Systems for Manufacturing Data …
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Preprint Published on "A Novel Metric for Evaluating the Semantic Fidelity of Synthetic Tabular Data."

2025-11-26

  • article
We have released a new preprint on arXiv introducing a novel metric for evaluating the semantic fide…
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Preprint Published on "A New Multi-agent Simulation Framework Powered by LLMs."

2025-11-19

  • article
As data ecosystems continue to advance, data marketplaces—platforms that enable organizations to pur…
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Preprint Published on "A Novel Data Integration Method Using Contextual Graph Embeddings."

2025-11-13

  • article
We have released a new preprint about "Contextual Graph Embeddings for Heterogeneous Data Integrati…
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Mr. Yu Receives Grand Prize at the 6th Young Researchers' Award by TOME R&D Inc.

2025-11-09

  • news
We are pleased to announce that Mr. Ke Yu, who completed his Master’s degree in 2024, has been award…
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Preprint Published on "Explainability of Reliable Large Language Models toward Generating Trustworthy Explanations."

2025-11-06

  • article
We have released a preprint on arXiv titled “Explainability of Large Language Models: Opportunities …
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