---
title: "Who cites Beyond Demographics: — 20 citing papers"
description: "20 papers of the Elamur Research library cite «Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text…"
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---
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# Who cites «Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions»

20 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions»](https://md.research.elamur.ai/free/en/papers/orlikowski-2025-beyond-demographics-fine-tuning-large/)

1. **[Value Profiles for Encoding Human Variation](https://md.research.elamur.ai/free/en/papers/sorensen-2025-value-profiles-encoding-human-variation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Taylor Sorensen, Pushkar Mishra, Roma Patel, et al.*2025 · 15 citations*
2. **[German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM Studies](https://md.research.elamur.ai/free/en/papers/rupprecht-2026-german-general-social-survey-personas/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jens Rupprecht, Leon Froehling, Claudia Wagner, et al.*2026 · 1 citation*
3. **[Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives](https://md.research.elamur.ai/free/en/papers/xu-2026-modeling-annotator-disagreement-demographic-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinuo Xu, Veronica Derricks, Allison Earl, et al.*2026 · 1 citation*
4. **[Fine-Grained Perspectives: Modeling Explanations with Annotator-Specific Rationales](https://md.research.elamur.ai/free/en/papers/sarumi-2026-fine-grained-perspectives-modeling-explanations/) [edition of NLPerspectives](https://md.research.elamur.ai/free/en/venues/nlperspectives/)**Olufunke O. Sarumi, Charles Welch, Daniel Braun*2026*
5. **[Learning Moral Diversity: Modelling Individual Perspectives in Moral Classification of Texts](https://md.research.elamur.ai/free/en/papers/ren-2026-learning-moral-diversity-modelling-individual/) [Workshop on Natural Language Processing and Computational Social Science](https://md.research.elamur.ai/free/en/venues/nlpcss/)**Yi Ren, Lewis Mitchell, Matthew Roughan*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/orlikowski-2025-beyond-demographics-fine-tuning-large/) — Beyond Demographics: Fine-tuning Large Language Models to Predict Individuals' Subjective Text Perceptions