aiBACKGROUND
FAAR: Format-Aware Adaptive Rounding for NVFP4
BACKGROUND
1 SIGNALFIRST DETECTED 26 March 2026
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26 Mar
DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression
arXiv:2603.22324v1 Announce Type: cross Abstract: We introduce Delta-Aware Quantization (DAQ), a data-free post-training quantization framework that preserves the knowledge
REPORT · WHAT · ArXiv CS.AIOPEN STORY
5 Sept
Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM
arXiv:2609.04098v1 Announce Type: new Abstract: Hybrid LLMs pair softmax attention with linear-attention layers such as Gated DeltaNet (GDN), whose recurrent state summarizes the
REPORT · WHAT · ArXiv CS.AIOPEN STORY
27 May
Tail-Aware HiFloat4: W4A4 Post-Training Quantization for Wan2.2
arXiv:2605.26628v1 Announce Type: new Abstract: This report describes Tail-Aware HiFloat4, our submission to the low-bit text-to-video generation quantization challenge. Our
REPORT · HOW · ArXiv CS.AIOPEN STORY
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