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Mar 19
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Collections including paper arxiv:2402.14905
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Mar 14
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Sep 9
Sep 9
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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
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Mar 29
Mar 29
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 602 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126 -
YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Paper • 2402.13616 • Published • 46 -
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
Paper • 2402.19479 • Published • 32
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Feb 28
Feb 28
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Sep 23
Sep 23
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 42 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 29 -
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model
Paper • 2404.04167 • Published • 12 -
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126
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Feb 26
Feb 26
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May 1
May 1
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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper • 2402.14905 • Published • 126 -
Sensor-based Multi-Robot Search and Coverage with Spatial Separation in Unstructured Environments
Paper • 2403.01710 • Published • 2 -
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models
Paper • 2308.14352 • Published -
Slimmable Encoders for Flexible Split DNNs in Bandwidth and Resource Constrained IoT Systems
Paper • 2306.12691 • Published • 2
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Feb 26
Feb 26