2 papers
cs.CL2025
Biases in Large Language Model-Elicited Text: A Case Study in Natural Language Inference
Grace Proebsting, Adam Poliak
We test whether NLP datasets created with Large Language Models (LLMs) contain annotation artifacts and social biases like NLP datasets elicited from crowd-source workers. We recre…
cs.CL2024
Hypothesis-only Biases in Large Language Model-Elicited Natural Language Inference
Grace Proebsting, Adam Poliak
We test whether replacing crowdsource workers with LLMs to write Natural Language Inference (NLI) hypotheses similarly results in annotation artifacts. We recreate a portion of the…