155 citations · 251 across the 23 of their papers we have counts for
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cs.DB2023★ 10 cited
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…
cs.DB2023★ 2 cited
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…