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dd1497 / llm-unmasking

Code for the paper Looking Right is Sometimes Right: Investigating the Capabilities of Decoder-only LLMs for Sequence Labeling accepted at ACL 2024 Findings
MIT License
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Thank you for interesting work. When will you open the source code? #2

Open leejun-ha opened 2 months ago

leejun-ha commented 2 months ago

Your work is very interesting. When will your code be open to the public? And I understand you use spaCy dependency parser for RDRR. But, I am also curious about the detailed procedure for calculating RDRR. Could you share the detailed procedure of calculating RDRR? Thank you.

dd1497 commented 2 months ago

Thank you :)) the code is now available, you can find the details for RDRR calculation in this notebook notebooks/Dep_Parse_Dataset_Characterization.ipynb

leejun-ha commented 2 months ago

Thank you for your code sharing!

I hope you don't mind me asking, but I'm finding this code quite complex. If it's not too much trouble, would you be so kind as to provide an explanation?

I would be immensely grateful if you could break down its main components and functionality. Your expertise would be invaluable in helping me understand it better.

Additionally, I was wondering if you could also share the model checkpoints, if possible.

Thank you so much for your time and consideration. :)