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Reasoning model

Reasoning language models (RLMs) or large reasoning models (LRMs) are large language models that are trained further to solve tasks that take several steps of reasoning. They tend to do better on logic, math, and programming tasks than standard LLMs, can revisit and revise earlier steps, and make use of extra computation while answering as another way to…

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Reinforcement learning

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Models

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Reasoning model

Nodes51
Edges50
Triples39
Avg. degree1.96
Density0.039216
Components1

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Reasoning model

Top relations

related to 2025 · 11
Reasoning model → Deep Research, DeepSeek, DeepSeek R1, Group Relative Policy Optimization, GRPO, In January, On February, On January, OpenAI, R1, The
related to AIME · 5
Reasoning model → AIME, American Invitational Mathematics Examination, Models, On, While OpenAI's
related to Humanity's Last Exam · 4
Reasoning model → For, HLE, State-of-the-art, The HLE
related to Qwen · 4
Reasoning model → December, November, QvQ-72B-Preview, QwQ-32B-Preview
related to Computational cost · 3
Reasoning model → On AIME, Reasoning, These
related to Benchmarks · 2
Reasoning model → Reasoning, Some

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Important terminology

reasoning model models tasks reward 2024 orm displaystyle language steps prm process openai large trained performance human search traces answer

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
tree searchinstance ofexplored complex methods0.80text
reinforcement learning to replicate o1's capabilitiesinstance ofexplored complex methods0.80text
s1-32Binstance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
which achieved strong performance through budget forcinginstance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
scaling methods.On February 2instance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
2025instance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
OpenAI released Deep Research based on their o3 modelinstance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
allowing users to initiate complex research tasksinstance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
generate comprehensive reports which incorporate various sources from the web.OpenAI called GPT-4.5 itsinstance ofThe effectiveness of distillation for reasoning models was shown in works0.80text
Proximal Policy Optimizationinstance ofMost recent systems use policy-gradient methods0.80text
Reasoning modelrelated to 2025In January0.60section
Reasoning modelrelated to 2025DeepSeek0.60section

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