MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases
Paper
• 2402.14905 • Published
• 134
Papers - IoT
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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 • 3 -
Bias Loss for Mobile Neural Networks
Paper • 2107.11170 • Published • 2 -
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
Paper • 2310.18384 • Published • 2 -
Pattern Discovery in Time Series with Byte Pair Encoding
Paper • 2106.00614 • Published • 2 -
Towards a World-English Language Model for On-Device Virtual Assistants
Paper • 2403.18783 • Published • 6 -
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Paper • 2403.20041 • Published • 34 -
Octopus v2: On-device language model for super agent
Paper • 2404.01744 • Published • 58 -
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 260 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 118