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Collections including paper arxiv:2311.05908

Trellis Networks for Sequence Modeling

Paper • 1810.06682 • Published Oct 15, 2018 • 1
Pruning Very Deep Neural Network Channels for Efficient Inference

Paper • 2211.08339 • Published Nov 14, 2022 • 1
LAPP: Layer Adaptive Progressive Pruning for Compressing CNNs from Scratch

Paper • 2309.14157 • Published Sep 25, 2023 • 1
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 138

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 • 15
Attention Is All You Need

Paper • 1706.03762 • Published Jun 12, 2017 • 50

Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture

Paper • 2310.12109 • Published Oct 18, 2023 • 1
Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Paper • 2310.18780 • Published Oct 28, 2023 • 3
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Paper • 2311.05908 • Published Nov 10, 2023 • 12
Multi-Dimensional Hyena for Spatial Inductive Bias

Paper • 2309.13600 • Published Sep 24, 2023 • 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

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 15
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 25
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 8
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

To read... eventually

A collection of papers that i have read or plan to read all in one place. Includes a wide range of topics.

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

Paper • 2403.09611 • Published Mar 14, 2024 • 125
Evolutionary Optimization of Model Merging Recipes

Paper • 2403.13187 • Published Mar 19, 2024 • 50
MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Paper • 2402.03766 • Published Feb 6, 2024 • 13
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25, 2024 • 65

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Paper • 2311.05908 • Published Nov 10, 2023 • 12

FlashDecoding++: Faster Large Language Model Inference on GPUs

Paper • 2311.01282 • Published Nov 2, 2023 • 35
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 28
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 17
FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Paper • 2311.05908 • Published Nov 10, 2023 • 12

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