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DAQ: Delta-Aware Quantization for Post-Training LLM Weight Compression

BACKGROUND
5 SIGNALSFIRST DETECTED 26 March 2026
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How the story developed
15 Oct
5.8
14 Oct
5.1
6 Oct
4.6
1 Sept
26 Mar
6.3
Other feeds and industry voices
5 May
BWLA: Breaking the Barrier of W1AX Post-Training Quantization for LLMs

arXiv:2605.00422v1 Announce Type: cross Abstract: Large language models (LLMs) have driven major progress in NLP, yet their substantial memory and compute demands still hinder

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 Apr
Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

arXiv:2604.21952v1 Announce Type: cross Abstract: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines

REPORT · WHAT · ArXiv CS.AIOPEN STORY
7 May
FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression

arXiv:2605.04084v1 Announce Type: cross Abstract: Compressing large language models (LLMs) for deployment on commodity GPUs remains challenging: conventional scalar quantization

REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding

arXiv:2603.18567v1 Announce Type: cross Abstract: Large language models incur high inference latency due to sequential autoregressive decoding. Speculative decoding alleviates

REPORT · HOW · ArXiv CS.AIOPEN STORY
25 Aug
SSDi8: Accurate and Efficient 8-bit Quantization for State Space Duality

arXiv:2608.21952v1 Announce Type: new Abstract: Recent advances in sequence modeling have highlighted Mamba as a state space architecture offering efficient long-range dependency

REPORT · WHAT · ArXiv CS.AIOPEN STORY
9 Apr
HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference

arXiv:2604.05887v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) have advanced unified reasoning over text, images, and videos, but their inference is

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Aug
HyQuant: Hybrid-Precision Quantization for LLM Attention

arXiv:2608.27875v1 Announce Type: new Abstract: Quantization has been widely adopted in LLM training and inference to reduce cost and improve efficiency. However, low-bit

REPORT · WHAT · ArXiv CS.AIOPEN STORY
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