Jesse C. Cresswell — Papers on Cortexa

arxivcs.CLcs.AI2026-07-14

LakeQuest: A Three-Domain Benchmark for Grounded Question Answering across Data Lakes

Michael Solodko, Steven Gong, Guangwei Yu, Satya Krishna Gorti, Jesse C. Cresswell, Victor Zhong

While modern question answering (QA) systems excel on clean, schema-aligned corpora, real-world knowledge is rarely so neatly packaged. Answering questions over enterprise and scientific data lakes requires systems to navigate heterogeneous, weakly structured collections of table…

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arxivcs.LG2026-06-30

TabPATE: Differentially Private Tabular In-Context Learning Without Public Data

Dariush Wahdany, Matthew Jagielski, Jesse C. Cresswell, Adam Dziedzic, Franziska Boenisch

Tabular foundation models enable accurate in-context learning (ICL) from small labeled datasets, but the private records placed in context can leak through model predictions. We first show that even basic membership inference attacks succeed against tabular ICL, motivating formal…

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