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Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels

Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels

Paul Resnick
Yuqing Kong
Grant Schoenebeck
Tim Weninger
ArXiv (abs)PDFHTML

Papers citing "Survey Equivalence: A Procedure for Measuring Classifier Accuracy Against Human Labels"

2 / 2 papers shown
Title
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
Georgios Chochlakis
Peter Wu
Arjun Bedi
Marcus Ma
Kristina Lerman
Shrikanth Narayanan
182
0
0
22 May 2025
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Georgios Chochlakis
Alexandros Potamianos
Kristina Lerman
Shrikanth Narayanan
151
2
0
17 Oct 2024

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