13 citations · 13 across the 1 of their papers we have counts for
2 papers
cs.CY2024
Automating Thematic Analysis: How LLMs Analyse Controversial Topics
Awais Hameed Khan, Hiruni Kegalle, Rhea D'Silva +4
Large Language Models (LLMs) are promising analytical tools. They can augment human epistemic, cognitive and reasoning abilities, and support 'sensemaking', making sense of a compl…
cs.CL2021★ 13 cited
Intersectional Bias in Causal Language Models
Liam Magee, Lida Ghahremanlou, Karen Soldatic +1
To examine whether intersectional bias can be observed in language generation, we examine \emph{GPT-2} and \emph{GPT-NEO} models, ranging in size from 124 million to ~2.7 billion p…