prediction using Kernel density estimation
A. U. G. U. S. T. I. N. T. ap S O B A, C. T, B. E et al.
· 0 citations
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Preprint
Jul 2026
Randomness in large language models: What researchers need to know (and report)
It is established that LLM outputs should be treated as draws from a distribution rather than as fixed measurements, as well as guidance for data editors and authors.
Guillaume Coqueret, J. Llull, Florian Oswald et al.
· 2 citations