3 papers
cs.CL2026
AI Writers Have a Consistent Stylometric Footprint, but AI Editors Do Not
Zhengyang Shan, Yukyung Lee, Sophie Hao
Text generated by large language models (LLMs) has been shown to be stylometrically distinct from human-written text \citep{andreDetectingAIAuthorship2023, shahDetectingUnmaskingAI…
cs.CL2025
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
cs.CV2025
DebiasPI: Inference-time Debiasing by Prompt Iteration of a Text-to-Image Generative Model
Sarah Bonna, Yu-Cheng Huang, Ekaterina Novozhilova +11
Ethical intervention prompting has emerged as a tool to counter demographic biases of text-to-image generative AI models. Existing solutions either require to retrain the model or…