Presenting at NLP+CSS Workshop at ACL 2026

I will present our paper Prompt Perturbations Reveal Human-Like Biases in Large Language Model Survey Responses at the Seventh Workshop on NLP and Computational Social Science (NLP+CSS) at ACL 2026 in San Diego.

We test 18 large language models on survey questions from the World Values Survey, applying ten different perturbations to question wording and answer options across over 334,800 simulated survey interviews. We find that 17 out of 18 models display recency bias, disproportionately favoring the last-presented answer option, while larger models show greater overall robustness. Our results highlight the need for careful prompt design when generating synthetic survey data with LLMs.