Comments (3)
Maybe...follow how the google paper constructs their chain of thought prompts?
Current unknowns:
- What's the difference between CoT and few-shot? Former is a process and latter are i.i.d. examples?
- What's the benefit of CoT in annotation? Maybe there's an HCI angle? (find decryzinski paper)
- Can I do this without using ChatGPT? Like use GPT-J or BLOOM or any open-source LLM?
from ljvmiranda921.github.io.
I remember an idea that annotator disagreements are also nice signals (of what?). Maybe there's something there.
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How about, in the future, use langchain to feed an annotation guideline (ACE2004/The Guardian), then let the LLM show the exact passage as to why that was the case. Then you can kinda verify it
https://github.com/hwchase17/langchain
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