IEEE

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference

Abstract: Vector quantization (VQ), which treats a vector as a compression unit, gains increasing research interests for its potential to accelerate large language models (LLMs). Compared to ...
IEEE

Learning vector quantization with local adaptive weighting for relevance determination in Genome-Wide association studies

Abstract: In Genome-Wide Association Studies (GWAS) huge amounts of genetic information are analyzed in order to discover how the observed variations, more specifically, the Single Nucleotide ...
Seeking Alpha

Elastic Announces Faster Filtered Vector Search with ACORN-1 and Default Better Binary Quantization Compression

New capabilities deliver up to 5X faster filtered vector search, improved ranking quality, and lower infrastructure costs to unlock scalable, cost-efficient AI applications SAN FRANCISCO--(BUSINESS ...
GitHub

UniVQ: Unified Time Series Forecasting with Vector Quantization

Time series forecasting faces significant challenges due to highly heterogeneous distributions across domains and limited data coverage of real-world scenarios. UniVQ addresses these challenges ...
GitHub

[AAAI'25] VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

The Diffusion Transformers Models (DiTs) have transitioned the network architecture from traditional UNets to transformers, demonstrating exceptional capabilities in image generation. Although DiTs ...