| アイテムタイプ |
デフォルトアイテムタイプ（フル）(1) |
| 公開日 |
2025-06-06 |
| タイトル |
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|
タイトル |
LLM-Based Two-stage Reasoning for TNM Staging: NECMedDX at the NTCIR-18 RadNLP Task |
|
言語 |
en |
| 作成者 |
Soma Onishi
Daisaku Shibata
Masanori Tsujikawa
Ryo Ishii
Junya Tominaga
Hideki Ota
|
| 内容記述 |
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|
内容記述タイプ |
Abstract |
|
内容記述 |
We propose a novel method for automatically inferring TNM stages from radiology reports. The proposed method includes a two-stage reasoning process. In Stage 1, kNN few-shot learning with the Chain of Thought is used for initial inference, followed by a self-review to evaluate the reasoning process. In Stage 2, if the inference results after the self-review are inconsistent, a second review is conducted from an alternative perspective. The proposed method achieved superior results in the NTCIR-18 RadNLP 2024 Main Task (Japanese), outperforming other teams by approximately 7.4 points, thereby winning the competition. The proposed method is designed as an extension of prompt engineering. It requires no complex training, which makes it applicable to various large language models. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
NII Institutional Repository |
|
言語 |
en |
| 日付 |
|
|
日付 |
2025-06-06 |
|
日付タイプ |
Issued |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| ID登録 |
|
|
ID登録 |
10.20736/0002002067 |
|
ID登録タイプ |
JaLC |
| 関連情報 |
|
|
関連タイプ |
isReferencedBy |
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|
識別子タイプ |
URI |
|
|
関連識別子 |
https://research.nii.ac.jp/ntcir/ntcir-18/index.html |
|
|
言語 |
en |
|
|
関連名称 |
NTCIR-18 Conference |
| 開始ページ |
|
|
開始ページ |
none |
| 会議記述 |
|
|
|
会議名 |
NTCIR-18 Conference |
|
|
言語 |
en |
|
回次 |
18 |
|
|
主催機関 |
National Institute of Informatics |
|
|
言語 |
en |
|
|
開始年 |
2025 |
|
|
開始月 |
6 |
|
|
開始日 |
10 |
|
|
終了年 |
2025 |
|
|
終了月 |
6 |
|
|
終了日 |
13 |
|
|
開催期間 |
June 10-13, 2025 |
|
|
言語 |
en |
|
|
開催会場 |
National Institute of Informatics |
|
|
言語 |
en |
|
開催国 |
JPN |
07-NTCIR18-RADNLP-OnishiS.pdf (1.0 MB)
