Piotr Nawrot

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upvoted 2 papers about 2 months ago

Bootstrapping World Models from Dynamics Models in Multimodal Foundation Models

Paper • 2506.06006 • Published Jun 6 • 13

Inference-Time Hyper-Scaling with KV Cache Compression

Paper • 2506.05345 • Published Jun 5 • 27

commented a paper about 2 months ago

Inference-Time Hyper-Scaling with KV Cache Compression

Paper • 2506.05345 • Published Jun 5 • 27 •

1

upvoted a paper 2 months ago

Neurosymbolic Diffusion Models

Paper • 2505.13138 • Published May 19 • 34

authored a paper 3 months ago

The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Paper • 2504.17768 • Published Apr 24 • 14

commented a paper 3 months ago

The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Paper • 2504.17768 • Published Apr 24 • 14 •

3

upvoted a paper 3 months ago

The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Paper • 2504.17768 • Published Apr 24 • 14

commented a paper 3 months ago

The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs

Paper • 2504.17768 • Published Apr 24 • 14 •

3

upvoted a paper 3 months ago

Hierarchical Transformers Are More Efficient Language Models

Paper • 2110.13711 • Published Oct 26, 2021 • 1

authored 5 papers 3 months ago

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models

Paper • 2307.06440 • Published Jul 12, 2023 • 3

Hierarchical Transformers Are More Efficient Language Models

Paper • 2110.13711 • Published Oct 26, 2021 • 1

nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources

Paper • 2309.02373 • Published Sep 5, 2023 • 1

Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Paper • 2403.09636 • Published Mar 14, 2024 • 3

Efficient Transformers with Dynamic Token Pooling

Paper • 2211.09761 • Published Nov 17, 2022

upvoted 2 papers 3 months ago

Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference

Paper • 2403.09636 • Published Mar 14, 2024 • 3

nanoT5: A PyTorch Framework for Pre-training and Fine-tuning T5-style Models with Limited Resources

Paper • 2309.02373 • Published Sep 5, 2023 • 1

updated a model 3 months ago

pnawrot/nanoT5-base

Updated Apr 26 • 6 • 10

liked 3 models 6 months ago

nvidia/Llama-2-7B-DMC-4x

Updated Dec 22, 2024 • 1

nvidia/Llama-2-7B-DMC-8x

Updated Dec 22, 2024 • 1

nvidia/Llama-2-13B-DMC-4x

Updated Dec 22, 2024 • 1