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For the proposed Clustering-based prompts, I have a few question:
Q1: Step 1: get 1 initial document per question. Wondering why we need to have this step? Seems not benefit to increase diversity?
Q2: Step 2: title said "encoding documents", paragraph said "encode question-document pair"; wondering what do you actually encoding?
Q3: Step 3: Sampling K question-doc paris from K-clusters; How to make sure the document contains relevant information to the question?
Q4: So the intuition of this method is: like in-context learning, providing an "prompt example" for LLM to generate diverse documents; and then giving the sample instruction, the LLM will generate documents with high diversity?
thanks for your attention!
Best,
Dayu
The text was updated successfully, but these errors were encountered:
Dear Authors
Thanks for sharing the great work.
For the proposed Clustering-based prompts, I have a few question:
Q1: Step 1: get 1 initial document per question. Wondering why we need to have this step? Seems not benefit to increase diversity?
Q2: Step 2: title said "encoding documents", paragraph said "encode question-document pair"; wondering what do you actually encoding?
Q3: Step 3: Sampling K question-doc paris from K-clusters; How to make sure the document contains relevant information to the question?
Q4: So the intuition of this method is: like in-context learning, providing an "prompt example" for LLM to generate diverse documents; and then giving the sample instruction, the LLM will generate documents with high diversity?
thanks for your attention!
Best,
Dayu
The text was updated successfully, but these errors were encountered: