3 papers
cs.LG2026
NodeSynth: Socially Aligned Synthetic Data for AI Evaluation
Qazi Mamunur Rashid, Xuan Yang, Zhengzhe Yang +5
Recent advancements in generative AI facilitate large-scale synthetic data generation for model evaluation. However, without targeted approaches, these datasets often lack the soci…
cs.CL2026
Cultural Perspectives and Expectations for Generative AI: A Global Survey Approach
Erin van Liemt, Renee Shelby, Andrew Smart +5
There is a lack of empirical evidence about global attitudes around whether and how GenAI should represent cultures. This paper assesses understandings and beliefs about culture as…
cs.HC2025
Amplify Initiative: Building A Localized Data Platform for Globalized AI
Qazi Mamunur Rashid, Erin van Liemt, Tiffany Shih +19
Current AI models often fail to account for local context and language, given the predominance of English and Western internet content in their training data. This hinders the glob…