3 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Indexing Economic Fluctuation Narratives from Keiki Watchers Survey
Eriko Shigetsugu, Hiroki Sakaji, Itsuki Noda
In this paper, we design indices of economic fluctuation narratives derived from economic surveys. Companies, governments, and investors rely on key metrics like GDP and industrial…
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
Kota Tanabe, Masanori Hirano, Kazuki Matoya +3
The domain adaptation of language models, including large language models (LLMs), has become increasingly important as the use of such models continues to expand. This study demons…