zhouchang123

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I know the initial retreiver is BM25.What's the meaning of initial BM25 retreiver don't need training and the reward model to tune retreiver? What's is the tuning really do here?...

What about the score through prompt retriever? Is the similarity of the two vectors after encoder? Thanks very much.

Section 3.4 introduced the inference part? It is the same in training pipline ? ![image](https://github.com/user-attachments/assets/6b964276-7d1e-4418-af82-33e4561c72ee)

![image](https://github.com/user-attachments/assets/5a10b223-e86e-4c98-bfbd-d2bdad604cd8) Section 3.3 only introduce sim(x, p) ,do you mean sim(x, p) is the score ? ![image](https://github.com/user-attachments/assets/c10ce61c-0606-42c8-b24d-76dfd265a6e0)

In paper,the positive prompt number is 1 and negative prompt number is 20.But not demonstrate the total number of prompts in one train epoch . What will happen if the...

I found some confusion about the pipline of training and inferencing. In training pipline, the input is include the task name and the query and the metric considerates the task....

I viewed the file prompt_pool.json and each dict is annotated to different task name.So the task name is only to divide to its metric score? The normal state of mind...

![image](https://github.com/user-attachments/assets/8bf443f5-7e73-4b67-b637-9471b8f96a3c) When load piqa dataset ,a problem happened.

Do you mean download the file to local and download from remote like this? ![image](https://github.com/user-attachments/assets/9af17278-2aff-4eb6-ac13-a7ffc196608f)

Could you please explain the quest@cdxeve