results file for datasets

[alomrani]

Hi there,

After running your code, I am getting 67 EM for WebQSP with gpt-3.5-turbo compared to 76 EM reported in the paper. I was wondering if you can share your results file for comparison.

Thanks,
Mohammad

[liyichen-cly]

Hi,

I am experiencing a similar issue, with my results hovering around 0.69 for WebQSP and 0.37 for CWQ. I would greatly appreciate it if the authors could provide some insight into the challenges of reproducing the results.

Best regards,
Liyi

[zh-qifan]

Hi,

I am also facing the same issue. I run the experiment for CWQ twice and got around 37% accuracy for gpt-3.5, compared to 57.1% mentioned in the paper. Could you please provide some suggestions in reproducing the result of the paper.

Best,
Qifan

[GasolSun36]

Hi,
Sorry for the late reply, we did not save the previous results, but here are some tips to reproduce the results of the paper:

1. The current version of the eval.py file has some problems, and we will fix them as soon as possible.
2. The chatgpt model we use is gpt-3.5-turbo-0613, and the performance may fluctuate slightly from the current updated model.
3. CWQ test is a file with alias that we built and will be updated later.

[liyichen-cly]

Thank you very much for your reply! I have already corrected the retrieval code and adjusted the version of ChatGPT. However, my experimental results did not improve much and are similar to the previous ones. I hope the alias file can be provided and the eval file can be corrected for reproduction as soon as possible.

Best,
Liyi

[willer-lu]

Hi, Sorry for the late reply, we did not save the previous results, but here are some tips to reproduce the results of the paper:

1. The current version of the eval.py file has some problems, and we will fix them as soon as possible.
2. The chatgpt model we use is gpt-3.5-turbo-0613, and the performance may fluctuate slightly from the current updated model.
3. CWQ test is a file with alias that we built and will be updated later.

Which version of GPT-4 did you use?

[GasolSun36]

Hi, Sorry for the late reply, we did not save the previous results, but here are some tips to reproduce the results of the paper:

1. The current version of the eval.py file has some problems, and we will fix them as soon as possible.
2. The chatgpt model we use is gpt-3.5-turbo-0613, and the performance may fluctuate slightly from the current updated model.
3. CWQ test is a file with alias that we built and will be updated later.

Which version of GPT-4 did you use?
Hi,

We use gpt-4-0613 for all the experiments setting.

[yindahu87]

非常感谢您的回复！我已经更正了检索代码并调整了 ChatGPT 的版本。然而，我的实验结果并没有太大的改善，并且与以前的结果相似。我希望可以提供别名文件，并且可以尽快更正 eval 文件以进行复制。

最好的，丽艺

你好，我在复现代码的过程中遇到了一些困难，你能指点我一下吗 感谢

[youngsasa2021]

非常感谢您的回复！我已经更正了检索代码并调整了 ChatGPT 的版本。然而，我的实验结果并没有太大的改善，并且与以前的结果相似。我希望可以提供别名文件，并且可以尽快更正 eval 文件以进行复制。
最好的，丽艺

你好，我在复现代码的过程中遇到了一些困难，你能指点我一下吗 感谢

你好，我也在复现过程中遇到了一些问题，可以一起交流一下吗？非常感谢