Ultra-Sparse Memory Network
Paper • 2411.12364 • Published • 23
Full Paper List
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Hyper-Connections
Paper • 2409.19606 • Published • 26 -
Polynomial Composition Activations: Unleashing the Dynamics of Large Language Models
Paper • 2411.03884 • Published • 28 -
Over-Tokenized Transformer: Vocabulary is Generally Worth Scaling
Paper • 2501.16975 • Published • 32 -
Scale-Distribution Decoupling: Enabling Stable and Effective Training of Large Language Models
Paper • 2502.15499 • Published • 15 -
HybridNorm: Towards Stable and Efficient Transformer Training via Hybrid Normalization
Paper • 2503.04598 • Published • 21 -
Frac-Connections: Fractional Extension of Hyper-Connections
Paper • 2503.14125 • Published • 22 -
Efficient Pretraining Length Scaling
Paper • 2504.14992 • Published • 20 -
Scaling Law for Quantization-Aware Training
Paper • 2505.14302 • Published • 76 -
Stepsize anything: A unified learning rate schedule for budgeted-iteration training
Paper • 2505.24452 • Published • 5 -
UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning
Paper • 2508.18756 • Published • 36