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Found 4 papers, 1 papers with code
Query-dominant User Interest Network for Large-Scale Search Ranking
The overall historical behaviors are various but noisy while search behaviors are always sparse.
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval
Specifically, we propose a multilingual PLM called masked sentence model (MSM), which consists of a sentence encoder to generate the sentence representations, and a document encoder applied to a sequence of sentence vectors from a document.
Reasoning with Multi-Structure Commonsense Knowledge in Visual Dialog
In our model, the external knowledge is represented with sentence-level facts and graph-level facts, to properly suit the scenario of the composite of dialog history and image.
Multi-View Document Representation Learning for Open-Domain Dense Retrieval
Second, to prevent multi-view embeddings from collapsing to the same one, we further propose a global-local loss with annealed temperature to encourage the multiple viewers to better align with different potential queries.
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