10 citations · 20 across the 4 of their papers we have counts for
5 papers
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…
METAM: Goal-Oriented Data Discovery
Sainyam Galhotra, Yue Gong, Raul Castro Fernandez
Data is a central component of machine learning and causal inference tasks. The availability of large amounts of data from sources such as open data repositories, data lakes and da…
Ver: View Discovery in the Wild
Yue Gong, Zhiru Zhu, Sainyam Galhotra +1
We present Ver, a data discovery system that identifies project-join views over large repositories of tables that do not contain join path information, and even when input queries…
Representing Verbs as Argument Concepts
Yu Gong, Kaiqi Zhao, Kenny Q. Zhu
Verbs play an important role in the understanding of natural language text. This paper studies the problem of abstracting the subject and object arguments of a verb into a set of n…