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cs.CL2026
What Makes a Good Response? An Empirical Analysis of Quality in Qualitative Interviews
Jonathan Ivey, Anjalie Field, Ziang Xiao
Qualitative interviews provide essential insights into human experiences when they elicit high-quality responses. While qualitative and NLP researchers have proposed various measur…
cs.CL2025
NUTMEG: Separating Signal From Noise in Annotator Disagreement
Jonathan Ivey, Susan Gauch, David Jurgens
NLP models often rely on human-labeled data for training and evaluation. Many approaches crowdsource this data from a large number of annotators with varying skills, backgrounds, a…
cs.CL2024
Real or Robotic? Assessing Whether LLMs Accurately Simulate Qualities of Human Responses in Dialogue
Jonathan Ivey, Shivani Kumar, Jiayu Liu +12
Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants. In response, muc…