Kalman Delta Networks: Uncertainty-aware Associative Memory
Paper • 2609.07816 • Published • 27
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papers 5 days ago
RISE: Recursive Improvement via Self-Extrapolating Policy Distillation
Paper • 2609.05295 • Published • 13
Group Adaptive Clipping Policy Optimization
Paper • 2609.00444 • Published • 9
MaxKernel: Agentic Kernel Generation for TPUs
Paper • 2609.04523 • Published • 15
Don't Drop Dropout: Optimizing Layer Sparsity for Efficient LLM Training and Inference
Paper • 2609.05275 • Published • 20
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papers 8 days ago
Random Attention: Rethinking KV Cache Eviction for Efficient Reasoning
Paper • 2609.03430 • Published • 177
Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM
Paper • 2609.04098 • Published • 80
Rethinking On-Policy Distillation of Large Language Models II: One Training Example
Paper • 2609.04172 • Published • 91
Post-Training Language Models for Gold-Medal Performance in Coding Competitions
Paper • 2609.02849 • Published • 11
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On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability
Paper • 2608.30320 • Published • 58
Normalized Low-Rank Adaptation
Paper • 2608.31036 • Published • 52
Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement
Paper • 2608.31046 • Published • 151
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