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cs.CL2024
Assessing Human Editing Effort on LLM-Generated Texts via Compression-Based Edit Distance
Nicolas Devatine, Louis Abraham
Assessing the extent of human edits on texts generated by Large Language Models (LLMs) is crucial to understanding the human-AI interactions and improving the quality of automated…
cs.CL2024★ 2 cited
Prompt Selection Matters: Enhancing Text Annotations for Social Sciences with Large Language Models
Louis Abraham, Charles Arnal, Antoine Marie
Large Language Models have recently been applied to text annotation tasks from social sciences, equalling or surpassing the performance of human workers at a fraction of the cost.…