Latest Articles for Model

A new benchmark for evaluating French language models enhances multilingual capabilities.

Introducing Federated Dynamic Averaging for improved communication in distributed deep learning.

Research on optimizing deep learning models with sparsity and quantization techniques.

Examining the impact of calibration set quality on LLM performance post-quantization.

This study compares deep learning to traditional models in estimating radiation cancer risks.

New methods enhance machine understanding of dynamic interactions in video content.

Introducing SwiLoRA, a method that optimizes training for large language models with fewer resources.

Researchers develop a model to improve graph learning using data from various sources.

A model assesses the readability of Wikipedia articles across 14 languages.

AI technology improves bark beetle identification and forest management.

New technique enhances image generation from text prompts.

Recent tests reveal LLMs' weaknesses in simple reasoning despite high benchmark scores.

Research highlights machine learning's application in studying protein mutations and molecular properties.

New metrics shed light on the limitations of language models in representing reality.

Improving methods for assessing meaning similarity between sentences in natural language.

This study assesses the forecasting abilities of language models compared to humans.

New 3D models improve accuracy of stellar atmosphere analysis and spectroscopy.

ExoDeepFinder efficiently detects rare exocytosis events in video data using deep learning.

Setokim enhances the fusion of visual and text understanding through innovative tokenization.

A new system assesses safety risks in images generated by AI models.

A new approach to understanding metaphors in videos through automated captioning.

A new dataset aids in spotting subjective content in Arabic news articles.

A deep learning model designed to optimize codon usage across various organisms.

M2CVD improves software vulnerability detection through collaborative model approaches.

A new model aims to predict cascading failures in power grids effectively.

A look at Particle Swarm Optimization and its applications in various fields.

A new method enhances LLMs for generating high-quality UI code.

Study evaluates how well LLMs reason beyond immediate context.

Study reveals bias differences in language models across various languages.

A new framework tackles fairness conflicts in machine learning effectively.

A new method aids self-driving cars to predict surroundings using raw data.

Discover how CMC-Bench is transforming image compression techniques.

A fresh approach improves detection of fake images created by AI.

New method transforms single images into realistic 3D avatars.

This study examines how figurative language aids in identifying writing style and authorship.

A new method uses natural language explanations to improve entity matching.

A new model enables robots to learn tasks better using visual and language inputs.

Research aims to clarify how we perceive different smells.

Exploring the significance of unlearning methods in modern machine learning.

A new model enhances text-to-speech technology with efficiency and adaptability.