42 citations · 77 across the 19 of their papers we have counts for
5 papers · 1 filter
Towards Contextual Sensitive Data Detection
Liang Telkamp, Madelon Hulsebos
The emergence of open data portals necessitates more attention to protecting sensitive data before datasets get published and exchanged. To do so effectively, we observe the need t…
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis
Daniel Gomm, Cornelius Wolff, Madelon Hulsebos
Natural language interfaces to tabular data must handle ambiguities inherent to queries. Instead of treating ambiguity as a deficiency, we reframe it as a feature of cooperative in…
Rethinking Dataset Discovery with DataScout
Rachel Lin, Bhavya Chopra, Wenjing Lin +3
Dataset Search -- the process of finding appropriate datasets for a given task -- remains a critical yet under-explored challenge in data science workflows. Assessing dataset suita…
TARGET: Benchmarking Table Retrieval for Generative Tasks
Xingyu Ji, Parker Glenn, Aditya G. Parameswaran +1
The data landscape is rich with structured data, often of high value to organizations, driving important applications in data analysis and machine learning. Recent progress in repr…
How well do LLMs reason over tabular data, really?
Cornelius Wolff, Madelon Hulsebos
Large Language Models (LLMs) excel in natural language tasks, but less is known about their reasoning capabilities over tabular data. Prior analyses devise evaluation strategies th…