18 citations · 18 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
Taylor Sorensen, Yejin Choi
Many natural language processing (NLP) tasks involve subjectivity, ambiguity, or legitimate disagreement between annotators. In this paper, we outline our system for modeling human…
cs.AI2023★ 18 cited
Towards Coding Social Science Datasets with Language Models
Christopher Michael Rytting, Taylor Sorensen, Lisa Argyle +4
Researchers often rely on humans to code (label, annotate, etc.) large sets of texts. This kind of human coding forms an important part of social science research, yet the coding p…