| 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 |
|
|
タイトル |
SCUNLP-1 at the NTCIR-18 FinArg-2 Task: Collaborative Large Language Models for Temporal Classification |
|
言語 |
en |
| 作成者 |
Min-Chin Ho
Jheng-Long Wu
|
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The SCU-1 team participated in the "Detection of Argument Temporal References in Earnings Conference Calls" subtask of the NTCIR-18 FinArg-2 task. This study reports our approach to solving the problem and discusses the official results. We analyze the impact of step-by-step reasoning, model collaboration, and prompt design on the classification performance of large language models (LLMs). Through a series of experiments, we found that providing detailed explanations and incorporating previous model predictions significantly improved classification accuracy. Additionally, we compared different LLM discussion mechanisms and prompt design strategies, revealing that allowing models to reference each other and reason based on prior outputs effectively enhances decision-making quality. Run 3, which included complete reasoning steps and prior model outputs, achieved the best performance, highlighting the advantages of cross-model reference and optimized prompt design. These findings offer new directions for improving LLM-based classification tasks. |
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言語 |
en |
| 出版者 |
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|
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 |
10.20736/0002002043 |
|
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 |