ERC Advanced Grant · 2024
Robust Generative Information Retrieval
Generative information retrieval is an emerging paradigm that replaces the traditional index-then-retrieve pipeline by encoding all information about a document collection in the parameters of a model. The retrieval task is then formalized as a sequence-to-sequence learning problem, making it possible to optimize the system end-to-end. This enables optimization towards a broad range of goals, not just short-term utility ones but also broader long-term objectives, such as fairness and diversity. Trustworthiness is a prerequisite for the development, deployment, and use of AI-based systems. With UNITE I propose a technical agenda to understand how we can build warranted trust in generative…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.