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Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
Prakhar Ganesh, Reza Shokri, Golnoosh Farnadi
Large language models (LLMs) are known to "hallucinate" by generating false or misleading outputs. Hallucinations pose various harms, from erosion of trust to widespread misinforma…
Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
Prakhar Ganesh, Hsiang Hsu, Golnoosh Farnadi
Multiplicity, the existence of equally good yet competing models, has received growing attention in recent years. While prior work has emphasized modelling choices, the critical ro…
Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
Prakhar Ganesh, Afaf Taik, Golnoosh Farnadi
Algorithmic modeling relies on limited information in data to extrapolate outcomes for unseen scenarios, often embedding an element of arbitrariness in its decisions. A perspective…