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DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning research paper by DeepSeek, 2025

DeepSeek · Reasoning · Jan 22, 2025 · 5,972 citations · 458 upvotes

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What it shows

Reinforcement learning taught a model long step-by-step reasoning on par with OpenAI o1.

By DeepSeek-AI, Daya Guo, Dejian Yang and 197 more · arXiv 2501.12948 · PDF · Code

Summarised by hand from the abstract.

The model it introduced

On models.fru.dev

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About this paper
Venue
Nature
Citations
5,972, 955 influential · Semantic Scholar
Upvotes
458 · Hugging Face
Lab
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Changes

UpvotesNov 2, 2026Hugging Face upvotes fell from 462 to 458.
CitationsNov 2, 2026Influential citations rose from 943 to 955.
CitationsNov 2, 2026Citations rose from 5,853 to 5,972.
CitationsOct 12, 2026Influential citations rose from 940 to 943.
CitationsOct 12, 2026Citations rose from 5,805 to 5,853.
CitationsOct 5, 2026Influential citations rose from 926 to 940.
CitationsOct 5, 2026Citations rose from 5,718 to 5,805.
CitationsSep 28, 2026Influential citations rose from 921 to 926.
CitationsSep 28, 2026Citations rose from 5,694 to 5,718.
CitationsSep 25, 2026Citations rose from 5,691 to 5,694.
New paperSep 24, 2026Added to the list.