One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications Paper • 2606.25621 • Published Jun 24 • 21
SoL-Refiner Collection Original LTX-2.3 refiners and the LTX-2.5 extension for MiniMax-H3. https://nvlabs.github.io/Sana/Sol-Refiner/ • 4 items • Updated 6 days ago • 9
Training a Compact, Strong, and Realistic Text-to-Speech Model Paper • 2610.14776 • Published 23 days ago • 5
MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models Paper • 2408.11743 • Published Aug 21, 2024 • 4
The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm Paper • 2507.18553 • Published Jul 24, 2025 • 43
Quartet: Native FP4 Training Can Be Optimal for Large Language Models Paper • 2505.14669 • Published May 20, 2025 • 81
CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Paper • 2510.18784 • Published Oct 21, 2025 • 4
Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization Paper • 2509.23202 • Published Sep 27, 2025 • 32
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization Paper • 2512.00956 • Published Nov 30, 2025 • 25
DASH: Faster Shampoo via Batched Block Preconditioning and Efficient Inverse-Root Solvers Paper • 2602.02016 • Published Feb 2 • 15
MatGPTQ: Accurate and Efficient Post-Training Matryoshka Quantization Paper • 2602.03537 • Published Feb 3 • 7
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning Paper • 2605.07850 • Published May 8 • 19
WUSH-KV: KV Cache Quantization with Data-Adaptive Transforms Paper • 2609.38121 • Published Sep 29 • 25
Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-Experts Paper • 2610.02241 • Published Sep 29 • 7
RoboAtom: Large-scale Atomic-Action Supervision for Robot Learning Paper • 2610.40207 • Published 4 days ago • 3