DeepSeek-R1 ↔ Large Language Models

Relations (1)

related 0.30 — supporting 3 facts

DeepSeek-R1 is related to Large Language Models as it is a paper and technical report specifically focused on incentivizing reasoning capabilities in LLMs via reinforcement learning [1][2], and is cited in a survey on the theory and mechanism of Large Language Models regarding reasoning [3].

Facts (3)

Sources

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

referenceThe paper 'Deepseek-r1: incentivizing reasoning capability in llms via reinforcement learning' (arXiv:2501.12948) is cited in the survey 'A Survey on the Theory and Mechanism of Large Language Models' regarding reasoning capabilities.

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

referenceThe paper 'Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning' was published as an arXiv preprint in 2025.

A Comprehensive Benchmark and Evaluation Framework for Multi ... arxiv.org arXiv 1 fact

referenceDeepSeek-AI published the DeepSeek-R1 technical report in 2025, detailing the use of reinforcement learning to incentivize reasoning capabilities in large language models.