Collection by
Dec 15, 2024
Dec 15, 2024
Collections
Discover the best community collections!
Collections including paper arxiv:2404.07143
Collection by
14 days ago
14 days ago
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 8 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 47 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 17 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 29
Collection by
Sep 20, 2024
Sep 20, 2024
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 140 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 15 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 2 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 137
Collection by
Jan 6
Jan 6
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LLoCO: Learning Long Contexts Offline
Paper • 2404.07979 • Published • 21 -
LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens
Paper • 2402.13753 • Published • 115 -
LongAgent: Scaling Language Models to 128k Context through Multi-Agent Collaboration
Paper • 2402.11550 • Published • 17 -
LongAlign: A Recipe for Long Context Alignment of Large Language Models
Paper • 2401.18058 • Published • 21
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May 22, 2024
May 22, 2024
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Sep 11, 2024
Sep 11, 2024
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Jun 12, 2024
Jun 12, 2024
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Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length
Paper • 2404.08801 • Published • 66 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 105 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 38
Collection by
22 days ago
22 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 • 608 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43
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Apr 17, 2024
Apr 17, 2024
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Apr 12, 2024
Apr 12, 2024