HITSZ-HLT/Feedback-ICL

Python

Feedback-ICL

Language Options: 中文 | English

中文说明

论文信息

本仓库开源了以下论文的代码：

标题：Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
作者：Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu*
会议：ACL-2024 Findings（短文）

运行说明

各任务数据集位于dataset中（可以参考./dataset/sampling_example.ipynb完成候选样例采样）
获取候选样本的先验预测结果
```
bash scripts/run_pre.sh
```
在候选样本中进行样例检索
```
bash scripts/run_sim.sh
```
推理
```
bash scripts/run_ficl.sh
```

English Version

Information

This repository open-sources the code for the following paper:

Title: Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
Authors: Hongling Xu, Qianlong Wang, Yice Zhang, Min Yang, Xi Zeng, Bing Qin, Ruifeng Xu*
Conference: ACL-2024 Findings (short)

Instructions

The datasets for each task are located in the dataset folder (refer to ./dataset/sampling_example.ipynb for completing candidate example sampling).
Obtain the prior prediction results for the candidate samples:
```
bash scripts/run_pre.sh
```
Perform in-context example retrieval among the candidate samples:
```
bash scripts/run_sim.sh
```
Inference:
```
bash scripts/run_ficl.sh
```