5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CL2025★ 5 cited
Enhancing Pancreatic Cancer Staging with Large Language Models: The Role of Retrieval-Augmented Generation
Hisashi Johno, Yuki Johno, Akitomo Amakawa +9
Purpose: Retrieval-augmented generation (RAG) is a technology to enhance the functionality and reliability of large language models (LLMs) by retrieving relevant information from r…
math.ST2024
Extension of the one-sample Kolmogorov-Smirnov test
Atsushi Komaba, Hisashi Johno, Kazunori Nakamoto
We propose here a new goodness-of-fit test, named the one-sample OVL-q test (q = 1, 2, . . .), which can be considered an extension of the one-sample Kolmogorov-Smirnov test (equiv…