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Younesse Kaddar

2 accepted papers

2025

Can a Bayesian Oracle Prevent Harm from an Agent?

UAI 2025

Is there a way to design powerful AI systems based on machine learning methods that would satisfy probabilistic safety guarantees? With the long-term goal of obtaining a probabilistic guarantee that would apply in every context, we consider estimating a context-dependent bound on the probability of

2024

Amortizing intractable inference in large language models

ICLR 2024oral

Autoregressive large language models (LLMs) compress knowledge from their training data through next-token conditional distributions. This limits tractable querying of this knowledge to start-to-end autoregressive sampling. However, many tasks of interest---including sequence continuation, infilling…