Latest Articles for Pre-training

This article explains how language models produce incorrect information and studies their causes.

SPAM offers a smarter way to label video data efficiently.

MiniMol offers an efficient approach to predicting molecular properties with fewer parameters.

Researchers improve AI models using synthetic images for effective classification.

Research shows robots can learn better by combining audio and visual data.

Explore how LLMs perform addition using unique mathematical techniques.

Evaluating pre-training methods for better machine learning performance in gaming.

Study reveals effective embedding strategies for faster bug localization in software.

A new tool for evaluating protein structure learning methods.

A novel method for efficient decision-making in artificial intelligence using large world models.

Introducing SiamTST for better analysis of multivariate time series data in telecommunications.

Advancing task-solving models for languages with limited data through innovative merging techniques.

Exploring DINO pre-training's impact on autonomous vehicle performance and adaptability.

Examining how deep belief networks can learn from data and create complex representations.

New methods make image recognition models smaller and more efficient.

MoFO helps large language models retain knowledge during fine-tuning without losing performance.

A fresh approach to recognizing object attributes through language models.

Examining how pre-training and fine-tuning impact language model performance.

This article discusses using pre-training to enhance privacy and performance in Federated Learning.

Examining IKUN and IKUN-C's role in translating multiple languages effectively.

A look at how transfer learning impacts model performance through scaling laws.

A new method for detecting hallucinations in language models using corrupted data.

Research showcases diffusion models for improved table-to-text conversion.

A new method enhances drone teamwork capabilities for varied partner interactions.

A-GFNs use atoms to create new drug-like molecules, improving drug discovery.

Transformers improve classification accuracy for Autism Spectrum Disorder through advanced brain imaging analysis.

A new model improves processing and analysis of Sanskrit text.

A novel method for training agents to adapt across various tasks using diverse experiences.

Explore how diffusion models transform noise into stunning images.

A new tool aims to improve diabetes care and outcomes using advanced data analysis.

Discover how machines learn from few examples using innovative techniques.

A new approach enhances access to Vietnamese legal information.

Moto uses video analysis to teach robots complex movements efficiently.

Innovative technique connects lyrics and melodies for better song creation.

Addressing challenges of low-resource languages in natural language processing.

HindiLLM empowers Hindi language processing, bridging technological gaps.