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Reasoning in Large Language Models: From Chain-of-Thought to Massively Decomposed Agentic Processes

2025-12-24

Abstract excerpt

Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning tasks, yet their ability to execute long-horizon processes with sustained accuracy remains a fundamental challenge. This survey provides a comprehensive examination of reasoning in LLMs, spanning from foundational prompting techniques to emerging massively decomposed agentic processes. We first establish a taxonomy that categorizes...

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Literature Corpus work: e2c7fd5c-3715-5eb0-8dbe-5790a83a0cb7
DOI: 10.20944/preprints202512.2242.v1

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