Kronecker Delta Rule for Long Context Linear Attention Paper • 2610.26834 • Published 28 days ago • 32
Retrieval-Centric Deep Learning in Growing Nonparametric Neural Networks Paper • 2610.03858 • Published Oct 2 • 12
Triadic Linear Attention: Three-Dimensional Recurrent States for Long-Context Sequence Modeling Paper • 2609.36529 • Published Sep 29 • 13
Linear Attention Architectures: Mechanisms, Trade-offs, and Cross-Layer Routing Paper • 2607.07953 • Published Jul 8 • 16
Sparse Delta Memory: Scaling the State of Linear RNNs through Sparsity Paper • 2607.07386 • Published Jul 8 • 13
Nemotron-TwoTower: Diffusion Language Modeling with Pretrained Autoregressive Context Paper • 2606.26493 • Published Jun 25 • 3
Nemotron-Labs-TwoTower Collection Diffusion Language Modeling with Pretrained Autoregressive Nemotron 3 Models • 1 item • Updated 3 days ago • 9
Rethinking the Role of Efficient Attention in Hybrid Architectures Paper • 2606.15378 • Published Jun 13 • 21
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence Paper • 2605.26494 • Published May 26 • 37
Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention Paper • 2605.22791 • Published May 21 • 29
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Paper • 2604.10098 • Published Apr 11 • 84
InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models Paper • 2512.08829 • Published Dec 9, 2025 • 23
DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models Paper • 2512.02556 • Published Dec 2, 2025 • 275
Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds Paper • 2511.08892 • Published Nov 12, 2025 • 219
Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer Paper • 2510.25976 • Published Oct 29, 2025 • 16
view article Article Why Did MiniMax M2 End Up as a Full Attention Model? MiniMax-AI • Oct 30, 2025 • 83
Less is More: Recursive Reasoning with Tiny Networks Paper • 2510.04871 • Published Oct 6, 2025 • 520