Collection by
Feb 9
Feb 9
Collections
Discover the best community collections!
Collections including paper arxiv:2307.06945
Collection by
15 days ago
15 days ago
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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 • 38 -
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 • 16
Collection by
14 days ago
14 days ago
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 20 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2
Collection by
Mar 14
Mar 14
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Sparse Autoencoders Find Highly Interpretable Features in Language Models
Paper • 2309.08600 • Published • 11 -
In-context Autoencoder for Context Compression in a Large Language Model
Paper • 2307.06945 • Published • 25 -
Self-slimmed Vision Transformer
Paper • 2111.12624 • Published • 1 -
MEMORY-VQ: Compression for Tractable Internet-Scale Memory
Paper • 2308.14903 • Published • 1
Collection by
13 days ago
13 days ago
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In-Context Learning Creates Task Vectors
Paper • 2310.15916 • Published • 39 -
When can transformers reason with abstract symbols?
Paper • 2310.09753 • Published • 2 -
Improving Length-Generalization in Transformers via Task Hinting
Paper • 2310.00726 • Published • 1 -
In-context Autoencoder for Context Compression in a Large Language Model
Paper • 2307.06945 • Published • 25