3 papers
cs.CL2026
Medical Incident Causal Factors and Preventive Measures Generation Using Tag-based Example Selection in Few-shot Learning
Yuna Haseyama, Tomoki Ito, Hiroki Sakaji +1
In high-stakes domains such as healthcare, the reliability of Large Language Models (LLMs) is critical, particularly when generating clinical insights from incident reports. This s…
cs.AI2024
Knowledge Management for Automobile Failure Analysis Using Graph RAG
Yuta Ojima, Hiroki Sakaji, Tadashi Nakamura +5
This paper presents a knowledge management system for automobile failure analysis using retrieval-augmented generation (RAG) with large language models (LLMs) and knowledge graphs…
cs.CL2024
Indexing and Visualization of Climate Change Narratives Using BERT and Causal Extraction
Hiroki Sakaji, Noriyasu Kaneda
In this study, we propose a methodology to extract, index, and visualize ``climate change narratives'' (stories about the connection between causal and consequential events related…