43 citations · 288 across the 47 of their papers we have counts for
4 papers · 1 filter
Revisiting Prompt Engineering via Declarative Crowdsourcing
Aditya G. Parameswaran, Shreya Shankar, Parth Asawa +2
Large language models (LLMs) are incredibly powerful at comprehending and generating data in the form of text, but are brittle and error-prone. There has been an advent of toolkits…
Moving Fast With Broken Data
Shreya Shankar, Labib Fawaz, Karl Gyllstrom +1
Machine learning (ML) models in production pipelines are frequently retrained on the latest partitions of large, continually-growing datasets. Due to engineering bugs, partitions i…
Efficient and Compact Spreadsheet Formula Graphs
Dixin Tang, Fanchao Chen, Christopher De Leon +4
Spreadsheets are one of the most popular data analysis tools, wherein users can express computation as formulae alongside data. The ensuing dependencies are tracked as formula grap…
Transactional Panorama: A Conceptual Framework for User Perception in Analytical Visual Interfaces
Dixin Tang, Alan Fekete, Indranil Gupta +1
Many tools empower analysts and data scientists to consume analysis results in a visual interface, such as a dashboard. When the underlying data changes, these results need to be u…