shannonai / gpt-cls-carp Goto Github PK

Hello there, your paper is interesting, but when I tried to reproduce using the data you shared as google drive, that G-drive link is empty can you please check on that.

Hello , thanks for your fantastic paper ! Hovewer links provided to google drive with data and ft model are linking back to repository and not to google drive

论文提到的都是二分类，多分类如何处理更合适？？　构造多个二分类模型，或者直接在prompt中说清楚，这样prompt会不会太长？而一般的模型是有长度限制的

After reading the paper, I have some questions:

1. Is CARP applied on an already fine-tuned LLM like Chat GPT? If so, if I am trying to apply this concept in a model that has not been fine-tuned at all (for example GPT variants that can be found in Huggingface), how should I prepare the training data to fine-tune the LLM so that CARP can be effectively applied?
2. I do not understand what the paper says regarding using training sets. From what I understand, there is a training set, and you sample some of them out using SimCSE for few-shot learning demonstration examples. However, I do not understand where the training set is used other than when sampling out the few-shot examples. Were they used to fine-tune the LLM and you keep them for future use?

I apologize if I asked anything that was already mentioned in the paper and I was not paying close attention to it. Thank you in advance

Please let me know how this code can be ran own my own data.