arXiv Machine Learning By Yinhan Lu, Eric Elmoznino, L\'eo Gagnon, Sarthak Mittal, Tejas Kasetty, Guillaume Lajoie

Simplifying the Modeling of Arbitrary Conditionals in Natural Language

Read the original on arXiv Machine Learning →

arXiv:2606. 14943v1 Announce Type: cross Abstract: Causal Transformers model sequences through an autoregressive factorization of the joint distribution, which enables efficient left-to-right decoding and conditional likelihood computation.

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arXiv Machine Learning
Jun 18

Structured Inference with Large Language Gibbs

arXiv:2606. 19264v1 Announce Type: new Abstract: The knowledge encoded in large language models (LLMs) can serve as a substrate for structured reasoning over variables describing a complex world, but accessing this knowledge in a probabilistically coherent manner poses a difficult inference problem.

By Sanghyeok Choi, Henry Gouk, Esmeralda S. Whitammer