基于文心大模型，提出了一种改进的 Prompt 设计策略，通过优化输入提示模板，提升了大模型在立场检测任务中的分类准确性和稳定性。本文以多个真实数据集为研究对象，构建了从文本输入到模型输出的完整流程，涵盖模型生成结果的后处理、立场自动检测和与人工标注结果的对比实验。实验结果表明，所提出的 Prompt 工程方法在正向与负向的分类任务中取得了较高的准确率�
active 2024-12-26 → 2024-12-26 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2024-12-26 to 2024-12-26. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| chenlockyer | 2 | 2 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.