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Collections including paper arxiv:2311.10642

LLM architecture

The Impact of Depth and Width on Transformer Language Model Generalization

Paper • 2310.19956 • Published Oct 30, 2023 • 9
Retentive Network: A Successor to Transformer for Large Language Models

Paper • 2307.08621 • Published Jul 17, 2023 • 170
RWKV: Reinventing RNNs for the Transformer Era

Paper • 2305.13048 • Published May 22, 2023 • 14
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 44

Scaling MLPs: A Tale of Inductive Bias

Paper • 2306.13575 • Published Jun 23, 2023 • 14
Trap of Feature Diversity in the Learning of MLPs

Paper • 2112.00980 • Published Dec 2, 2021 • 1
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics

Paper • 2301.05816 • Published Jan 14, 2023 • 1
RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?

Paper • 2108.04384 • Published Aug 9, 2021 • 1

Efficient Memory Management for Large Language Model Serving with PagedAttention

Paper • 2309.06180 • Published Sep 12, 2023 • 25
LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models

Paper • 2308.16137 • Published Aug 30, 2023 • 39
Scaling Transformer to 1M tokens and beyond with RMT

Paper • 2304.11062 • Published Apr 19, 2023 • 2
DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Paper • 2309.14509 • Published Sep 25, 2023 • 17

BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 74
In-Context Learning Creates Task Vectors

Paper • 2310.15916 • Published Oct 24, 2023 • 41
Matryoshka Diffusion Models

Paper • 2310.15111 • Published Oct 23, 2023 • 40

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 144
Exponentially Faster Language Modelling

Paper • 2311.10770 • Published Nov 15, 2023 • 118
Fine-tuning Language Models for Factuality

Paper • 2311.08401 • Published Nov 14, 2023 • 28
NEFTune: Noisy Embeddings Improve Instruction Finetuning

Paper • 2310.05914 • Published Oct 9, 2023 • 14

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