This paper proposes Text mAtching based SequenTial rEcommendation model
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This paper presents Structure Aware Dense Retrieval (SANTA) model, which...
Retrieval augmentation can aid language models (LMs) in knowledge-intens...
Common IR pipelines are typically cascade systems that may involve multi...
Few-shot dense retrieval (DR) aims to effectively generalize to novel se...
Compared to other language tasks, applying pre-trained language models (...
Machine Learning (ML) has been embraced as a powerful tool by the financ...
Dense retrieval (DR) has the potential to resolve the query understandin...
Query reformulation aims to alter potentially noisy or ambiguous text
se...
Neural rankers based on deep pretrained language models (LMs) have been ...
The fundamental principle in Modern Portfolio Theory (MPT) is based on t...
Conversational query rewriting aims to reformulate a concise conversatio...
When applying eigenvalue decomposition on the quadratic term matrix in a...
We develop a chatbot using Deep Bidirectional Transformer models (BERT) ...