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Found 3 papers, 1 papers with code
Shallow Cross-Encoders for Low-Latency Retrieval
However, Cross-Encoders based on large transformer models (such as BERT or T5) are computationally expensive and allow for scoring only a small number of documents within a reasonably small latency window.
RecJPQ: Training Large-Catalogue Sequential Recommenders
Sequential Recommendation is a popular recommendation task that uses the order of user-item interaction to model evolving users' interests and sequential patterns in their behaviour.
Generative Sequential Recommendation with GPTRec
This paper presents the GPTRec sequential recommendation model, which is based on the GPT-2 architecture.
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