9 citations · 19 across the 12 of their papers we have counts for
4 papers · 1 filter
Generalization Can Emerge in Tabular Foundation Models From a Single Table
Junwei Ma, Nour Shaheen, Alex Labach +4
Deep tabular modelling increasingly relies on in-context learning where, during inference, a model receives a set of pairs as context and predicts labels for new inputs wit…
Semantic Commit: Helping Users Update Intent Specifications for AI Memory at Scale
Priyan Vaithilingam, Munyeong Kim, Frida-Cecilia Acosta-Parenteau +4
How do we update AI memory of user intent as intent changes? We consider how an AI interface may assist the integration of new information into a repository of natural language dat…
A novel methodology to estimate pileup effects and induced error in microdosimetric spectra
E. Pierobon, M. Missiaggia, F. G. Cordoni +1
Microdosimetry provides a superior characterization of the radiation field compared to conventional LET-based methodology, and for this reason it has become increasingly attractive…
GenEdit: Compounding Operators and Continuous Improvement to Tackle Text-to-SQL in the Enterprise
Karime Maamari, Connor Landy, Amine Mhedhbi
Recent advancements in Text-to-SQL, driven by large language models, are democratizing data access. Despite these advancements, enterprise deployments remain challenging due to the…