Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks. However, CoT still falls ...

Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

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An in-depth look at how internal links, anchor text, and topical alignment influence authority distribution across a site.

AI wants to eat software, but can it? A fresh wave of critics bring a reality check. Speaking of reality check, enterprise LLM agents are getting a deterministic architectural makeover, as vendors ...