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Collections including paper arxiv:2404.09173

OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework

Paper • 2404.14619 • Published Apr 22 • 124
Multi-Head Mixture-of-Experts

Paper • 2404.15045 • Published Apr 23 • 58
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22 • 250
Learn Your Reference Model for Real Good Alignment

Paper • 2404.09656 • Published Apr 15 • 82

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Paper • 2404.08801 • Published Apr 12 • 62
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Paper • 2404.07143 • Published Apr 10 • 103
Block Transformer: Global-to-Local Language Modeling for Fast Inference

Paper • 2406.02657 • Published Jun 4 • 36

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 592
BitNet: Scaling 1-bit Transformers for Large Language Models

Paper • 2310.11453 • Published Oct 17, 2023 • 96
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 103
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43
Ring Attention with Blockwise Transformers for Near-Infinite Context

Paper • 2310.01889 • Published Oct 3, 2023 • 9
Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Paper • 2404.08801 • Published Apr 12 • 62

TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

Compression Represents Intelligence Linearly

Paper • 2404.09937 • Published Apr 15 • 27
TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

TransformerFAM: Feedback attention is working memory

Paper • 2404.09173 • Published Apr 14 • 43

To read... eventually

about 23 hours ago

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training

Paper • 2403.09611 • Published Mar 14 • 123
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19 • 49
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6 • 12
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25 • 64

LLM_architectures

Nemotron-4 15B Technical Report

Paper • 2402.16819 • Published Feb 26 • 42
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29 • 52
RWKV: Reinventing RNNs for the Transformer Era

Paper • 2305.13048 • Published May 22, 2023 • 13
Reformer: The Efficient Transformer

Paper • 2001.04451 • Published Jan 13, 2020

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