🔗 Who cites «Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Language Model Fine-Tuning on Scaled Survey Data for Predicting Distributions of Public Opinions»

1. Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text PerceptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Matthias Orlikowski, Jiaxin Pei, Paul Röttger, et al.2025 · 22 citations
2. ChatBench: From Static Benchmarks to Human-AI EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Serina Chang, Ashton Anderson, Jake M. Hofman2025 · 9 citations
3. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesLanguage Resources and Evaluation Conference (LREC)Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
4. Synthia: Scalable Grounded Persona Generation from Social Media DataAnnual Meeting of the Association for Computational Linguistics (ACL)Vahid Rahimzadeh, Erfan Moosavi Monazzah, Mohammad Taher Pilehvar, et al.2026 · 1 citation
5. Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election StudyarXiv:2509.25063Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier, et al.2025 · 1 citation
6. Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMsFindings of the Association for Computational LinguisticsTristan Williams, Franziska Weeber, Sebastian Padó, et al.2026
7. Graph-Based Alternatives to LLMs for Human SimulationAnnual Meeting of the Association for Computational Linguistics (ACL)Joseph Suh, Suhong Moon, Serina Chang2026

11 more papers of our library cite it; they have no page here yet.

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