Missing item prediction

Large language models (LLMs) can suggest missing elements from items listed in a prompt, which can be used for list completion or recommendations based on users' history. However, their performance degrades when presented with too many items, as they start to suggest items already included in the input list.

Data and Resources

Cite this as

Damien Sileo (2024). Dataset: Missing item prediction. https://doi.org/10.57702/96t5ngb8

DOI retrieved: December 17, 2024

Additional Info

Field Value
Created December 17, 2024
Last update December 17, 2024
Defined In https://doi.org/10.48550/arXiv.2407.13481
Author Damien Sileo
Homepage https://github.com/savoirfairelinux/