Latest Articles for Quantization

A look into the safety concerns of compressed language models.

New method improves the performance of Binary Neural Networks under faults.

Study of Carrollian symmetries and their implications in modern physics.

Research focuses on the quantum behavior of ModMax, a modified electrodynamics model.

A new method enhancing model performance through effective outlier management.

New deep learning methods improve image compression efficiency and quality.

This study enhances qubit measurements using machine learning and FPGA technology.

Training DNNs on microcontrollers boosts efficiency and privacy in smart technology.

An overview of regular Lagrangians and their role in mathematics and physics.

This article examines how quantization can improve Transformer language model training efficiency.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

Study reveals improved sentiment analysis through local LLMs and majority voting.

Techniques for optimizing RNNs, focusing on Mamba and quantization challenges.

Smaller models tailored for specific fields, like medicine, show great potential.

New method enhances deep learning models for limited-resource devices.

An overview of MIDI music creation and its expressive potential.

Methods to speed up speaker diarization without sacrificing accuracy.

New methods aim to run powerful models on limited hardware efficiently.

Reducing model size and improving efficiency with lower precision formats.

Learn methods to optimize large language models for better performance and efficiency.

Utilizing LLMs to enhance e-commerce tasks through instruction tuning and quantization.

Examining how antenna numbers influence 1-bit MIMO communication performance.

Combining HW-NAS and ACO for efficient neural networks.

Exploring techniques to enhance LLM performance during inference.

A new method enhances efficiency and performance of multimodal large language models.

Learn how PQV-Mobile enhances ViTs for efficient mobile applications.

A look into the principles and challenges of string theory.

Research offers fresh views on black holes through a new quantization scheme.

HoSZp allows efficient computations on compressed scientific data, improving analysis workflows.

Learn how language models on devices improve speed and privacy.

A new method makes using large language models on mobile devices more efficient.

This article explores zero-shot quantization and its applications in infrared imaging.

New strategies simplify decoding of LDPC codes for faster communications.

LLaMA3-70B faces unique issues with 8-bit quantization affecting its performance.

Discover efficient methods for fine-tuning large language models using Gaussian noise.

New methods enable non-invasive blood pressure monitoring through wearable devices.

An innovative approach to compress advanced models efficiently without losing performance.

New methods improve image generation efficiency on limited devices.

Exploring key concepts and implications of the Stern-Gerlach experiment in quantum physics.

A new method adapts to input signals, improving quantization accuracy.