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A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation
Paper • 2310.16656 • Published • 39 -
Unsupervised Universal Image Segmentation
Paper • 2312.17243 • Published • 19 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 109 -
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks
Paper • 2402.04248 • Published • 29
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Collections including paper arxiv:2402.04248
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 138 -
SparQ Attention: Bandwidth-Efficient LLM Inference
Paper • 2312.04985 • Published • 38 -
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
Paper • 2401.04658 • Published • 24 -
E^2-LLM: Efficient and Extreme Length Extension of Large Language Models
Paper • 2401.06951 • Published • 24
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Trellis Networks for Sequence Modeling
Paper • 1810.06682 • Published • 1 -
Pruning Very Deep Neural Network Channels for Efficient Inference
Paper • 2211.08339 • Published • 1 -
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch
Paper • 2309.14157 • Published • 1 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 138
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The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9 -
Retentive Network: A Successor to Transformer for Large Language Models
Paper • 2307.08621 • Published • 170 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 13 -
Attention Is All You Need
Paper • 1706.03762 • Published • 43
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Efficient Memory Management for Large Language Model Serving with PagedAttention
Paper • 2309.06180 • Published • 25 -
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models
Paper • 2308.16137 • Published • 39 -
Scaling Transformer to 1M tokens and beyond with RMT
Paper • 2304.11062 • Published • 2 -
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models
Paper • 2309.14509 • Published • 17
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Dissecting In-Context Learning of Translations in GPTs
Paper • 2310.15987 • Published • 5 -
In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 41 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques
Paper • 2310.08101 • Published • 1