Joseph Hellerstein

schoolUniversity of Californiabar_chart#5530 Global Rank

Total Papers

HCI Rank

#5530

Research Areas

Years Active

Recent Publications

Steering Semantic Data Processing With DocWrangler

Unstructured text has long been difficult to analyze automatically at scale. Large language models (LLMs) now make it possible to perform “semantic data processing,” where common data operators like map, reduce, and filter are powered by LLMs instead of traditional code. However, building these pipelines is challengin…

CSCW '243rd AuthorSession 3e: Trusting the Machine: Fake News. AI Decision-Making, and Auditing

"We Have No Idea How Models will Behave in Production until Production": How Engineers Operationalize Machine Learning

Organizations rely on machine learning engineers (MLEs) to deploy models and maintain ML pipelines in production. Due to models' extensive reliance on fresh data, the operationalization of machine learning, or MLOps, requires MLEs to have proficiency in data science and engineering. When considered holistically, the j…

UIST '202nd AuthorInteractive Data Visualization +1

B2: Bridging Code and Interactive Visualization in Computational Notebooks

Data scientists have embraced computational notebooks to author analysis code and accompanying visualizations within a single document. Currently, although these media may be interleaved, they remain siloed: interactive visualizations must be manually specified as they are divorced from the analysis provenance express…

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