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Found 5 papers, 1 papers with code
Explaining Expert Search and Team Formation Systems with ExES
Expert search and team formation systems operate on collaboration networks, with nodes representing individuals, labeled with their skills, and edges denoting collaboration relationships.
RAGE Against the Machine: Retrieval-Augmented LLM Explanations
This paper demonstrates RAGE, an interactive tool for explaining Large Language Models (LLMs) augmented with retrieval capabilities; i. e., able to query external sources and pull relevant information into their input context.
CREDENCE: Counterfactual Explanations for Document Ranking
Towards better explainability in the field of information retrieval, we present CREDENCE, an interactive tool capable of generating counterfactual explanations for document rankers.
Efficient Discovery of Approximate Order Dependencies
Order dependencies (ODs) capture relationships between ordered domains of attributes.
Databases
Joint Variational Autoencoders for Recommendation with Implicit Feedback
We introduce joint variational autoencoders (JoVA), an ensemble of two VAEs, in which VAEs jointly learn both user and item representations and collectively reconstruct and predict user preferences.
