38 citations · 48 across the 7 of their papers we have counts for
3 papers · 1 filter
Design and Evaluation of Camera-Centric Mobile Crowdsourcing Applications
Abby Stylianou, Michelle Brachman, Albatool Wazzan +2
The data that underlies automated methods in computer vision and machine learning, such as image retrieval and fine-grained recognition, often comes from crowdsourcing. In contexts…
Emerging Reliance Behaviors in Human-AI Content Grounded Data Generation: The Role of Cognitive Forcing Functions and Hallucinations
Zahra Ashktorab, Qian Pan, Werner Geyer +5
We investigate the impact of hallucinations and Cognitive Forcing Functions in human-AI collaborative content-grounded data generation, focusing on the use of Large Language Models…
Exploring Prompt Engineering Practices in the Enterprise
Michael Desmond, Michelle Brachman
Interaction with Large Language Models (LLMs) is primarily carried out via prompting. A prompt is a natural language instruction designed to elicit certain behaviour or output from…