most citedTowards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CL2023★ 2 cited

Towards Human-Level Text Coding with LLMs: The Case of Fatherhood Roles in Public Policy Documents

Lorenzo Lupo, Oscar Magnusson, Dirk Hovy +2

Recent advances in large language models (LLMs) like GPT-3.5 and GPT-4 promise automation with better results and less programming, opening up new opportunities for text analysis i…