chain-of-thought ↔ reasoning

Relations (1)

related 2.00 — strongly supporting 3 facts

Chain-of-thought is a specific method used to facilitate reasoning in AI systems, as described in [1] and [2], and is the central subject of research regarding the advancement of reasoning capabilities in large language models as noted in [3].

Facts (3)

Sources

Unlocking the Potential of Generative AI through Neuro-Symbolic ... arxiv.org arXiv 1 fact

claimReasoning and inference methods, such as chain-of-thought (CoT) reasoning and link prediction, enhance the logical decision-making capabilities of AI systems.

A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv 1 fact

referenceThe paper 'Towards reasoning era: a survey of long chain-of-thought for reasoning large language models' is an arXiv preprint, identified as arXiv:2503.09567.

The Synergy of Symbolic and Connectionist AI in LLM ... arxiv.org arXiv 1 fact

claimThe Chain-of-Thought (CoT) method enhances the cognitive task performance of LLM-empowered agents by guiding the models to generate text about intermediate reasoning steps.