🔗 Who cites «Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey Design»

58 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← the paper

1. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesSander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
2. Investigating Cultural Alignment of Large Language ModelsBadr AlKhamissi, Muhammad ElNokrashy, Mai Alkhamissi, et al.2024 · 177 citations
3. “My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language ModelsXinpeng Wang, Bolei Ma, Chengzhi Hu, et al.2024 · 89 citations
4. A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLIBeiduo Chen, Siyao Peng, Anna Korhonen, et al.2025 · 9 citations
5. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesJens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
6. Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskDawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
7. Uncertainty Quantification for Evaluating Gender Bias in Machine TranslationIeva Staliunaite, Julius Cheng, Andreas Vlachos2026 · 1 citation

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

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