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Collections including paper arxiv:2402.15627

Papers - ByteDance

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Paper • 2404.02905 • Published Apr 3 • 60
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback

Paper • 2404.07987 • Published Apr 11 • 46
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12 • 25
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32

Papers - University of Peking

LLM-ABR: Designing Adaptive Bitrate Algorithms via Large Language Models

Paper • 2404.01617 • Published Apr 2 • 6
Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction

Paper • 2404.02905 • Published Apr 3 • 60
Learning From Mistakes Makes LLM Better Reasoner

Paper • 2310.20689 • Published Oct 31, 2023 • 24
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model

Paper • 2404.04167 • Published Apr 5 • 8

ThemeStation: Generating Theme-Aware 3D Assets from Few Exemplars

Paper • 2403.15383 • Published Mar 22 • 12
FlexiDreamer: Single Image-to-3D Generation with FlexiCubes

Paper • 2404.00987 • Published Apr 1 • 21
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32
Interactive3D: Create What You Want by Interactive 3D Generation

Paper • 2404.16510 • Published Apr 25 • 18

Papers - Custom Layers

Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning

Paper • 2310.20587 • Published Oct 31, 2023 • 15
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention

Paper • 2310.00535 • Published Oct 1, 2023 • 2
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla

Paper • 2307.09458 • Published Jul 18, 2023 • 9
The Impact of Depth and Width on Transformer Language Model Generalization

Paper • 2310.19956 • Published Oct 30, 2023 • 9

Papers I find interesting

Scaling Instruction-Finetuned Language Models

Paper • 2210.11416 • Published Oct 20, 2022 • 5
Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Paper • 2312.00752 • Published Dec 1, 2023 • 132
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Paper • 2403.05530 • Published Mar 8 • 51
Yi: Open Foundation Models by 01.AI

Paper • 2403.04652 • Published Mar 7 • 59

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

Paper • 2402.17177 • Published Feb 27 • 87
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 46
Hydragen: High-Throughput LLM Inference with Shared Prefixes

Paper • 2402.05099 • Published Feb 7 • 17

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32
Beyond Language Models: Byte Models are Digital World Simulators

Paper • 2402.19155 • Published Feb 29 • 46
VisionLLaMA: A Unified LLaMA Interface for Vision Tasks

Paper • 2403.00522 • Published Mar 1 • 40
Stealing Part of a Production Language Model

Paper • 2403.06634 • Published Mar 11 • 86

Focus on the paper

重点关注的论文

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32

MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs

Paper • 2402.15627 • Published Feb 23 • 32

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