daveawang1/my_letter

LETTER This is the pytorch implementation of our paper: Learnable Item Tokenization for Generative Recommendation Overview We propose LETTER (a LEarnable Tokenizer for generaTivE Recommendation), which integrates hierarchical semantics, collaborative signals, and code assignment diversity to satisfy the essential requirements of identifiers. LETTER incorporates Residual Quantized VAE for semantic regularization, a contrastive alignment loss for collaborative… See the full description on the dataset page: https://huggingface.co/datasets/daveawang1/my_letter.

<iframe src="https://silytics.si/embed/item/de99a501-6ce0-487f-9cc6-55d2ed046bb3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.