Kim Moore — accepted AI-conference papers

2025

Waste Not, Want Not; Recycled Gumbel Noise Improves Consistency in Natural Language Generation

Damien De Mijolla, Hannan Saddiq, Kim Moore

NAACL 2025long

Consistency in the output of language models is critical for their reliability and practical utility. Due to their training objective, language models learn to model the full space of possible continuations, leading to outputs that can vary significantly in style, content, and tone, even for similar…

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2023

Task-specific experimental design for treatment effect estimation

Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige +1

ICML 2023oral

Understanding causality should be a core requirement of any attempt to build real impact through AI. Due to the inherent unobservability of counterfactuals, large randomised trials (RCTs) are the standard for causal inference. But large experiments are generically expensive, and randomisation carrie…

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