Hardware-Native Joint Sparse-Quantization for Trillion-Scale Mixture-of-Experts Paper • 2610.02241 • Published Sep 29 • 7
WUSH-KV: KV Cache Quantization with Data-Adaptive Transforms Paper • 2609.38121 • Published Sep 29 • 22
Disaggregated Quantization: Specializing LLM Prefill and Decode Paper • 2609.26333 • Published Sep 22 • 83
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuning Paper • 2401.10862 • Published Jan 19, 2024 • 2
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning Paper • 2605.07850 • Published May 8 • 19
Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation Paper • 2601.22813 • Published Jan 30 • 63
WUSH: Near-Optimal Adaptive Transforms for LLM Quantization Paper • 2512.00956 • Published Nov 30, 2025 • 25
Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization Paper • 2509.23202 • Published Sep 27, 2025 • 32