1 citations · 1 across the 1 of their papers we have counts for
5 papers
Visual Template Inference for Data Extraction from Documents
Yiming Lin, Mawil Hasan, Rohan Kosalge +2
Many templatized documents are programmatically generated from structured data following a visual template. Such documents include invoices, tax documents, financial reports, and p…
Steering Semantic Data Processing With DocWrangler
Shreya Shankar, Bhavya Chopra, Mawil Hasan +5
Unstructured text has long been difficult to automatically analyze at scale. Large language models (LLMs) now offer a way forward by enabling {\em semantic data processing}, where…
PROMPTEVALS: A Dataset of Assertions and Guardrails for Custom Production Large Language Model Pipelines
Reya Vir, Shreya Shankar, Harrison Chase +2
Large language models (LLMs) are increasingly deployed in specialized production data processing pipelines across diverse domains -- such as finance, marketing, and e-commerce. How…
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
Shreya Shankar, Tristan Chambers, Tarak Shah +2
Analyzing unstructured data has been a persistent challenge in data processing. Large Language Models (LLMs) have shown promise in this regard, leading to recent proposals for decl…
Flow with FlorDB: Incremental Context Maintenance for the Machine Learning Lifecycle
Rolando Garcia, Pragya Kallanagoudar, Chithra Anand +4
In this paper we present techniques to incrementally harvest and query arbitrary metadata from machine learning pipelines, without disrupting agile practices. We center our approac…