117 citations · 311 across the 31 of their papers we have counts for
4 papers · 1 filter
A Framework for Exploring the Consequences of AI-Mediated Enterprise Knowledge Access and Identifying Risks to Workers
Anna Gausen, Bhaskar Mitra, Siân Lindley
Organisations generate vast amounts of information, which has resulted in a long-term research effort into knowledge access systems for enterprise settings. Recent developments in…
DiSK: A Diffusion Model for Structured Knowledge
Ouail Kitouni, Niklas Nolte, James Hensman +1
Structured (dictionary-like) data presents challenges for left-to-right language models, as they can struggle with structured entities for a wide variety of reasons such as formatt…
Co-audit: tools to help humans double-check AI-generated content
Andrew D. Gordon, Carina Negreanu, José Cambronero +9
Users are increasingly being warned to check AI-generated content for correctness. Still, as LLMs (and other generative models) generate more complex output, such as summaries, tab…
Large language models can accurately predict searcher preferences
Paul Thomas, Seth Spielman, Nick Craswell +1
Relevance labels, which indicate whether a search result is valuable to a searcher, are key to evaluating and optimising search systems. The best way to capture the true preference…