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cs.CL2025
Evaluating how LLM annotations represent diverse views on contentious topics
Megan A. Brown, Shubham Atreja, Libby Hemphill +1
Researchers have proposed the use of generative large language models (LLMs) to label data for research and applied settings. This literature emphasizes the improved performance of…
cs.CL2025
Concept-Guided Chain-of-Thought Prompting for Pairwise Comparison Scoring of Texts with Large Language Models
Patrick Y. Wu, Jonathan Nagler, Joshua A. Tucker +1
Existing text scoring methods require a large corpus, struggle with short texts, or require hand-labeled data. We develop a text scoring framework that leverages generative large l…