CoolFace
Datasetpublic

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.

sourceHugging Facecc-by-4.0updated 1mo agoView on Hugging Face
0likes345downloads
9 commits on main
5e92b181mo ago

State the license and the upstream corpora's terms explicitly

manueltonneau
dd955fc1mo ago

Fix the master-table rebuild instructions: both caches ship with the data

manueltonneau
b3934871mo ago

Cite the arXiv preprint; update paths for the reorganized code repo

manueltonneau
ec335101mo ago

Add asl_cache (average sentence length per prompt), needed by build_masters.py

manueltonneau
248579f1mo ago

Add files using upload-large-folder tool

manueltonneau
955085e1mo ago

Add files using upload-large-folder tool

manueltonneau
f32954a1mo ago

Add files using upload-large-folder tool

manueltonneau
94a7cf91mo ago

Add files using upload-large-folder tool

manueltonneau
971e3871mo ago

initial commit

manueltonneau