2 citations · 2 across the 3 of their papers we have counts for
4 papers
The Stretto Execution Engine for LLM-Augmented Data Systems
Gabriele Sanmartino, Matthias Urban, Paolo Papotti +1
LLM-augmented data systems enable semantic querying over structured and unstructured data, but executing queries with LLM-powered operators introduces a fundamental runtime-accurac…
RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models
Dario Satriani, Enzo Veltri, Donatello Santoro +1
Factuality in Large Language Models (LLMs) is a persistent challenge. Current benchmarks often assess short factual answers, overlooking the critical ability to generate structured…
Community Moderation and the New Epistemology of Fact Checking on Social Media
Isabelle Augenstein, Michiel Bakker, Tanmoy Chakraborty +13
Social media platforms have traditionally relied on internal moderation teams and partnerships with independent fact-checking organizations to identify and flag misleading content.…
An LLM-Based Approach for Insight Generation in Data Analysis
Alberto Sánchez Pérez, Alaa Boukhary, Paolo Papotti +2
Generating insightful and actionable information from databases is critical in data analysis. This paper introduces a novel approach using Large Language Models (LLMs) to automatic…