From Memorization to Reasoning in the Spectrum of Loss Curvature (arxiv.org)

Screenshot of arxiv.org: From Memorization to Reasoning in the Spectrum of Loss Curvature

First screen, captured 11 months ago.

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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: LLMs encode how difficult problems are

LLMs encode how difficult problems are (arxiv.org)

150 points by stansApprentice 11 months ago | 30 comments

Screenshot of arxiv.org: LIMO: Less Is More for Reasoning

LIMO: Less Is More for Reasoning (arxiv.org)

376 points by trott 1 year ago | 126 comments

arXiv paper presenting LIMO, a model showing complex math reasoning in LLMs can be elicited with only 817 curated training samples.

llm-reasoning fine-tuning mathematical-reasoning data-efficiency

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: Continuous Autoregressive Language Models

Continuous Autoregressive Language Models (arxiv.org)

98 points by Anon84 11 months ago | 7 comments

Screenshot of arxiv.org: LM2: Large Memory Models

LM2: Large Memory Models (arxiv.org)

105 points by fzliu 1 year ago | 30 comments

Looks similar

Reasoning LLMs are wandering solution explorers(arxiv.org)

LLMs encode how difficult problems are(arxiv.org)

LIMO: Less Is More for Reasoning(arxiv.org)

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

Continuous Autoregressive Language Models(arxiv.org)

LM2: Large Memory Models(arxiv.org)