Researchers propose a finite-state machine framework for text generation, offering precise control and improved performance.
Author: Brandon T. Willard, Normal Computing; R´emi Louf, Normal Computing. Table of Links Abstract and Intro LLM Sampling and Guided Generation Iterative FSM Processing and Indexing Extensions to Iterative Parsing Discussion, References and Acknowledgments 2. LLM Sampling and Guided Generation Let St= represent a sequence of t tokens with st ∈ V, V a vocabulary, and |V|=N. The vocabularies, V, are composed of strings from a fixed alphabet and N is often on the order of 104 or larger.
Table of Links Abstract and Intro LLM Sampling and Guided Generation Iterative FSM Processing and Indexing Extensions to Iterative Parsing Discussion, References and Acknowledgments Abstract and Intro Abstract and Intro LLM Sampling and Guided Generation LLM Sampling and Guided Generation Iterative FSM Processing and Indexing Iterative FSM Processing and Indexing Extensions to Iterative Parsing Extensions to Iterative Parsing Discussion, References and Acknowledgments Discussion, References and...
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