ResearchTrend.AI
The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations

The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations

AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024
Robert Wolfe
Tanushree Mitra
ArXiv (abs)PDFHTML

Papers citing "The Implications of Open Generative Models in Human-Centered Data Science Work: A Case Study with Fact-Checking Organizations"

2 / 2 papers shown
Title
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Fragments to Facts: Partial-Information Fragment Inference from LLMs
Lucas Rosenblatt
Bin Han
Robert Wolfe
Bill Howe
AAML
265
0
0
20 May 2025
Beyond Release: Access Considerations for Generative AI Systems
Beyond Release: Access Considerations for Generative AI Systems
Irene Solaiman
Rishi Bommasani
Dan Hendrycks
Ariel Herbert-Voss
Yacine Jernite
Aviya Skowron
Andrew Trask
476
3
0
23 Feb 2025