Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
Paper • 1608.06037 • Published • 1
Ajinkya Kolhe
ajinkyakolhe112
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upvoted 4
papers 9 months ago
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans
Paper • 1811.07270 • Published • 1
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 166
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
upvoted a paper 10 months ago
upvoted an article 11 months ago
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Vision Language Models (Better, faster, stronger)
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upvoted a paper 11 months ago
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papers 12 months ago
Seedream 2.0: A Native Chinese-English Bilingual Image Generation Foundation Model
Paper • 2503.07703 • Published • 37
Scaling Vision Pre-Training to 4K Resolution
Paper • 2503.19903 • Published • 41
Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers
Paper • 2503.00865 • Published • 64
The Curse of Depth in Large Language Models
Paper • 2502.05795 • Published • 40
Slamming: Training a Speech Language Model on One GPU in a Day
Paper • 2502.15814 • Published • 69
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 153
Towards Best Practices for Open Datasets for LLM Training
Paper • 2501.08365 • Published • 62
Humanity's Last Exam
Paper • 2501.14249 • Published • 77
The GAN is dead; long live the GAN! A Modern GAN Baseline
Paper • 2501.05441 • Published • 98
TinyLLaVA: A Framework of Small-scale Large Multimodal Models
Paper • 2402.14289 • Published • 20
TinyLlama: An Open-Source Small Language Model
Paper • 2401.02385 • Published • 95
A Survey on Transformer Compression
Paper • 2402.05964 • Published • 1
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115