manueltonneau/llm-demographic-cues
Different Demographic Cues Yield Inconsistent Conclusions About LLM Personalization and Bias Model responses and derived tables for the EMNLP 2026 paper. Analysis code: https://github.com/manueltonneau/llm-demographic-cues Manuel Tonneau, Neil K. R. Sehgal, Niyati Malhotra, Sharif Kazemi, Victor Orozco-Olvera, Ana María Muñoz Boudet, Lakshmi Subramanian, Samuel P. Fraiberger, Sharath Chandra Guntuku, Valentin Hofmann. Different Demographic Cues Yield Inconsistent Conclusions… See the full description on the dataset page: https://huggingface.co/datasets/manueltonneau/llm-demographic-cues.
| Author / organization | manueltonneau |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 537 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 August 2026 |
| Last updated at source | 27 August 2026 |
Popularity, last 5 days
537 now (+10 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
More from manueltonneau
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.