10 citations · 10 across the 3 of their papers we have counts for
4 papers
The Pneuma Project: Reifying Information Needs as Relational Schemas to Automate Discovery, Guide Preparation, and Align Data with Intent
Muhammad Imam Luthfi Balaka, Raul Castro Fernandez
Data discovery and preparation remain persistent bottlenecks in the data management lifecycle, especially when user intent is vague, evolving, or difficult to operationalize. The P…
Exploiting LLMs for Automatic Hypothesis Assessment via a Logit-Based Calibrated Prior
Yue Gong, Raul Castro Fernandez
As hypothesis generation becomes increasingly automated, a new bottleneck has emerged: hypothesis assessment. Modern systems can surface thousands of statistical relationships-corr…
Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System
Muhammad Imam Luthfi Balaka, David Alexander, Qiming Wang +3
Finding relevant tables among databases, lakes, and repositories is the first step in extracting value from data. Such a task remains difficult because assessing whether a table is…
FabricQA-Extractor: A Question Answering System to Extract Information from Documents using Natural Language Questions
Qiming Wang, Raul Castro Fernandez
Reading comprehension models answer questions posed in natural language when provided with a short passage of text. They present an opportunity to address a long-standing challenge…