Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB (arxiv.org)

Screenshot of arxiv.org: Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB

First screen, captured 1 year ago.

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Screenshot of arxiv.org: Recursive Language Models

Recursive Language Models (arxiv.org)

135 points by schmuhblaster 9 months ago | 23 comments

Screenshot of arxiv.org: Language models as compilers: Simulating pseudocode execution

Language models as compilers: Simulating pseudocode execution (arxiv.org)

159 points by milliondreams 2 years ago | 49 comments

Screenshot of arxiv.org: Unsupervised Elicitation of Language Models

Unsupervised Elicitation of Language Models (arxiv.org)

128 points by kordlessagain 1 year ago | 18 comments

Screenshot of arxiv.org: Adaptive RAG – dynamic retrieval methods adjustment

Adaptive RAG – dynamic retrieval methods adjustment (arxiv.org)

110 points by milliondreams 2 years ago | 31 comments

Screenshot of arxiv.org: DeepRAG: Thinking to retrieval step by step for large language models

DeepRAG: Thinking to retrieval step by step for large language models (arxiv.org)

163 points by fofoz 1 year ago | 23 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

Looks similar

Recursive Language Models(arxiv.org)

Language models as compilers: Simulating pseudocode execution(arxiv.org)

Unsupervised Elicitation of Language Models(arxiv.org)

Adaptive RAG – dynamic retrieval methods adjustment(arxiv.org)

DeepRAG: Thinking to retrieval step by step for large language models(arxiv.org)

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