Comments (2)
yasamanrazeghi7
commented on July 17, 2024
Hi,
Thanks for pointing this out,
It depends on the way that the dataset is preprocessed, the template we put in the paper which is {prem}[P][T]. . . [T]{hyp} is right.
Keeping the sample template for label search and the prompt search will help the performance.
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rloganiv
commented on July 17, 2024
Thanks for catching this issue @XM-WANG as well as your kind words!
I've updated the example in the README to be consistent with the template and model used for trigger search.
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Related Issues (20)
- TypeErrors in label_search.py
- Question on using this in conjunction with CLIP / Open_CLIP / VQGAN HOT 3
- How to run the code --queries HOT 1
- Two arguments missed in label_search.py HOT 1
- where is scripts/run_experiments.py HOT 2
- About accuracy HOT 2
- "Gradient-Based Prompt Search"&" Automating Label Token Selection".which one is the first step? HOT 1
- I got different triggers with the one in fact_retrieval_bert_prompts.jsonl HOT 1
- How to run the code HOT 3
- Query about the function "encode_label" in autoprompt/utils.py HOT 4
- Is there the code for downstream task in this project？ HOT 2
- AttributeError: 'str' object has no attribute 'masked_select' HOT 2
- A program error in create_trigger.py for sentiment analysis task HOT 5
- A question for the meaning of letter 'Ġ' HOT 1
- where are the found prompts? HOT 1
- What is the T in your label search algorithm? HOT 2
- Question about code running on SNLI dataset
- Zero value for evaluation_fn in create_trigger.py
- 请问自己生成的的提示在哪里，我运行完prompt的程序也没见到自己生成的提示啊？
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