Analyzing constrained LLM through PDFA-learning

Fuente: arXiv
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Autori principali: Carrasco, Matías, Mayr, Franz, Yovine, Sergio, Kidd, Johny, Iturbide, Martín, da Silva, Juan Pedro, Garat, Alejo
Natura: Preprint
Pubblicazione: 2024
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author Carrasco, Matías
Mayr, Franz
Yovine, Sergio
Kidd, Johny
Iturbide, Martín
da Silva, Juan Pedro
Garat, Alejo
author_facet Carrasco, Matías
Mayr, Franz
Yovine, Sergio
Kidd, Johny
Iturbide, Martín
da Silva, Juan Pedro
Garat, Alejo
contents We define a congruence that copes with null next-symbol probabilities that arise when the output of a language model is constrained by some means during text generation. We develop an algorithm for efficiently learning the quotient with respect to this congruence and evaluate it on case studies for analyzing statistical properties of LLM.
format Preprint
id arxiv_https___arxiv_org_abs_2406_08269
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Analyzing constrained LLM through PDFA-learning
Carrasco, Matías
Mayr, Franz
Yovine, Sergio
Kidd, Johny
Iturbide, Martín
da Silva, Juan Pedro
Garat, Alejo
Formal Languages and Automata Theory
Artificial Intelligence
Machine Learning
We define a congruence that copes with null next-symbol probabilities that arise when the output of a language model is constrained by some means during text generation. We develop an algorithm for efficiently learning the quotient with respect to this congruence and evaluate it on case studies for analyzing statistical properties of LLM.
title Analyzing constrained LLM through PDFA-learning
topic Formal Languages and Automata Theory
Artificial Intelligence
Machine Learning
url https://arxiv.org/abs/2406.08269