LLMs encode how difficult problems are (arxiv.org)

Screenshot of arxiv.org: LLMs encode how difficult problems are

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Screenshot of arxiv.org: Continuous Autoregressive Language Models

Continuous Autoregressive Language Models (arxiv.org)

98 points by Anon84 11 months ago | 7 comments

Screenshot of arxiv.org: DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL (arxiv.org)

1116 points by gradus_ad 1 year ago | 932 comments

arXiv abstract page for the DeepSeek-AI paper introducing DeepSeek-R1, which uses reinforcement learning to improve reasoning in large language models.

deepseek-r1 deepseek reinforcement-learning llm-reasoning

Screenshot of arxiv.org: Large Language Model Reasoning Failures

Large Language Model Reasoning Failures (arxiv.org)

25 points by T-A 8 months ago | 37 comments

Screenshot of arxiv.org: Reasoning LLMs are wandering solution explorers

Reasoning LLMs are wandering solution explorers (arxiv.org)

83 points by Surreal4434 1 year ago | 78 comments

Screenshot of arxiv.org: Large language models often know when they are being evaluated

Large language models often know when they are being evaluated (arxiv.org)

60 points by jonbaer 1 year ago | 74 comments

Screenshot of arxiv.org: Foundations of Large Language Models

Foundations of Large Language Models (arxiv.org)

189 points by pkoird 1 year ago | 15 comments

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Continuous Autoregressive Language Models(arxiv.org)

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via RL(arxiv.org)

Large Language Model Reasoning Failures(arxiv.org)

Reasoning LLMs are wandering solution explorers(arxiv.org)

Large language models often know when they are being evaluated(arxiv.org)

Foundations of Large Language Models(arxiv.org)