Mark J. Brewer, João A. N. Filipe, David A. Elston, Lorna A. Dawson, Robert W. Mayes, Chris Soulsby and Sarah M. Dunn This article introduces a hierarchical model for compositional analysis. Our ...
Shift verification effort from a single, time-consuming flat run to a more efficient, distributed, and scalable process.
Current LLMs depend heavily on Chain-of-Thought prompting, an approach that often suffers from brittle task decomposition, immense training data demands and high latency. Inspired by the hierarchical ...
We use reversible jump Markov chain Monte Carlo methods (Green, 1995) to develop strategies for calculating posterior probabilities of hierarchical, graphical or decomposable log-linear models for ...
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