Stanford AI

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gist-sparse-attention submitted a paper about 1 month ago

Simplified Sparse Attention via Gist Tokens

awwkl submitted a paper 4 months ago

Zero-shot World Models Are Developmentally Efficient Learners

Xkev submitted a paper 6 months ago

Sparse Reward Subsystem in Large Language Models

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Papers

Simplified Sparse Attention via Gist Tokens

Sparse Reward Subsystem in Large Language Models

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Stanford 's papers 6

Submitted by

Yuzhen Mao

Simplified Sparse Attention via Gist Tokens

Stanford

Submitted by

Guowei Xu

Sparse Reward Subsystem in Large Language Models

Stanford

2

Submitted by

Narayan

Intelligence per Watt: Measuring Intelligence Efficiency of Local AI

Stanford

metaTextGrad: Automatically optimizing language model optimizers

Stanford

Submitted by

ZhuofengLi

In-the-Flow Agentic System Optimization for Effective Planning and Tool Use

Stanford

Submitted by

Pan Lu

Solving Inequality Proofs with Large Language Models

Stanford