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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2309.12284
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Attention Is All You Need
Paper • 1706.03762 • Published • 55 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 17 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 7 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14
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Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
Paper • 2404.02731 • Published • 1 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18 -
RALL-E: Robust Codec Language Modeling with Chain-of-Thought Prompting for Text-to-Speech Synthesis
Paper • 2404.03204 • Published • 10 -
Adapting LLaMA Decoder to Vision Transformer
Paper • 2404.06773 • Published • 18
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Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 45 -
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline
Paper • 2404.02893 • Published • 22 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18 -
Premise Order Matters in Reasoning with Large Language Models
Paper • 2402.08939 • Published • 28
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DiJiang: Efficient Large Language Models through Compact Kernelization
Paper • 2403.19928 • Published • 12 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18 -
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models
Paper • 2404.09204 • Published • 11 -
SAGS: Structure-Aware 3D Gaussian Splatting
Paper • 2404.19149 • Published • 14