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Joe Barrow

16 papers hereh-index 152.1k citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author14

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL11
  • cs.CV3
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedBias and Fairness in Large Language Models: A Survey

59 citations · 98 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CL2025

SafePassage: High-Fidelity Information Extraction with Black Box LLMs

Joe Barrow, Raj Patel, Misha Kharkovski +2

Black box large language models (LLMs) make information extraction (IE) easy to configure, but hard to trust. Unlike traditional information extraction pipelines, the information "…

cs.CV2025

CommonForms: A Large, Diverse Dataset for Form Field Detection

Joe Barrow

This paper introduces CommonForms, a web-scale dataset for form field detection. It casts the problem of form field detection as object detection: given an image of a page, predict…

cs.CV2025

A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality

Mohamed Elmoghany, Ryan Rossi, Seunghyun Yoon +26

Despite the significant progress that has been made in video generative models, existing state-of-the-art methods can only produce videos lasting 5-16 seconds, often labeled "long-…

cs.LG2025

From Selection to Generation: A Survey of LLM-based Active Learning

Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie +31

Active Learning (AL) has been a powerful paradigm for improving model efficiency and performance by selecting the most informative data points for labeling and training. In recent…

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