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Found 5 papers, 3 papers with code
DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts
Open-domain question answering requires retrieval systems able to cope with the diverse and varied nature of questions, providing accurate answers across a broad spectrum of query types and topics.
SE-PEF: a Resource for Personalized Expert Finding
The problem of personalization in Information Retrieval has been under study for a long time.
Denoising Attention for Query-aware User Modeling in Personalized Search
This approach allows taking into account the diversity of the user's interests by giving more importance to those related to the current search performed by the user.
SE-PQA: Personalized Community Question Answering
Personalization in Information Retrieval is a topic studied for a long time.
Utilizing ChatGPT to Enhance Clinical Trial Enrollment
Clinical trials are a critical component of evaluating the effectiveness of new medical interventions and driving advancements in medical research.
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