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Mar 5, 2024
Mar 5, 2024
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Collections including paper arxiv:2402.19427
Collection by
Mar 5, 2024
Mar 5, 2024
Collection by
Mar 5, 2024
Mar 5, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 145 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 21 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 44
Collection by
Mar 2, 2024
Mar 2, 2024
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StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 136 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18 -
Priority Sampling of Large Language Models for Compilers
Paper • 2402.18734 • Published • 16
Collection by
Mar 2, 2024
Mar 2, 2024
Collection by
4 days ago
4 days ago
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Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks
Paper • 2403.00522 • Published • 44 -
Resonance RoPE: Improving Context Length Generalization of Large Language Models
Paper • 2403.00071 • Published • 22
Collection by
Sep 9, 2024
Sep 9, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 49 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 136 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 18
Collection by
May 22, 2024
May 22, 2024
Collection by
Sep 18, 2024
Sep 18, 2024
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 42 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 15 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published
Collection by
13 days ago
13 days ago
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 605 -
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Paper • 2402.17177 • Published • 88 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 52 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 32