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cs.HC2026
Auditing Preferences for Brands and Cultures in LLMs
Jasmine Rienecker, Katarina Mpofu, Naman Goel +4
Large language models (LLMs) based AI systems increasingly mediate what billions of people see, choose and buy. This creates an urgent need to quantify the systemic risks of LLM-dr…
cs.LG2026★ 1 cited
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
Qinyi Liu, Mohammad Khalil, Naman Goel
Foundation models for tabular data, such as the Tabular Prior-data Fitted Network (TabPFN), are pre-trained on a massive number of synthetic datasets generated by structural causal…