[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
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Updated
Apr 1, 2026 - Python
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
[Pytorch] Unofficial Implementation of "Recommender Systems with Generative Retrieval"
Updating curated list of research advancements on item identification and item tokenization in generative recommender systems. The survey is titled "A Survey of Item Identifiers in Generative Recommendation: Construction, Alignment, and Generation"
Official Implementation of GENIUS: A Generative Framework for Universal Multimodal Search, CVPR 2025
We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker model. DDRO encourages the model to focus on document-level relevance during generation
Code for "Multi-level Relevance Document Identifier Learning for Generative Retrieval". ACL 2025.
Code for "HierGR: Hierarchical Semantic Representation Enhancement for Generative Retrieval in Food Delivery Search". ACL 2025.
Reproducibility study of Planning-Ahead Generative Retrieval (PAG), probing lexical planner robustness under query perturbations and cross-lingual evaluation. SIGIR 2026 Reproducibility Track.
[Pytorch] Tokenizer library for sequential recommendations and generative retrieval using pre-trained language models
The Integration of Chain-of-Thought in Generative Information Retrieval
Project for the University of Bologna "Cognitive Semantics for Artificial Intelligence" course (a.y. 2024-25).
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