Latest Articles for Data Generation

Discover how supervised learning aids in solving complex equations efficiently.

ARSim method improves data quality for training self-driving cars using synthetic objects.

Discover how Maria helps astronomers optimize observations of the universe.

A new framework for assessing the performance of RAG systems.

Researchers propose geometric biomarkers for better action potential analysis.

This method improves CFD accuracy and efficiency using machine learning.

Graph neural networks speed up security assessments in power systems.

A new AI-based method improves efficiency in Full Waveform Inversion.

FuseGen combines multiple models for better quality synthetic data in machine learning.

TimeAutoDiff offers new solutions for creating realistic synthetic time series data.

Exploring how PANN models simulate hyperelastic beam behavior under stress.

Introducing ENSY to enhance minority travel mode predictions.

A framework to improve theorem proving using Lean4 and language models.

Anvil simplifies design optimization by integrating CAD, CFD, and AI techniques.

A new method using diffusion models improves chip placement efficiency and effectiveness.

A new method combining offline and online reinforcement learning for improved decision-making.

Combining language understanding and vision enhances robot navigation capabilities.

Research focuses on improving smaller MLLMs using knowledge from larger models.

A method to create quality empathetic responses through automated data generation.

SAGE-RT creates synthetic data to improve language model safety assessments.

I-SHEEP enables large language models to learn continuously from generated data.

EMO-LLaMA improves emotional AI by enhancing facial expression recognition.

New insights into diffusion models enhance their efficiency and adaptability in data generation.

Using machine learning to predict rare events in chemical processes for enhanced safety.

Researchers improve large language models using self-improvement with code-based methods.

A new method improves shadow detection without extensive data labeling.

Better prompts enhance the quality of synthetic tabular data generated by LLMs.

A new method enhances how language models follow complex instructions.

This study explores effective methods for generating synthetic data for language model training.

Re-Diffuse changes images based on text, balancing detail and creativity.

A new framework enhances identification by generating varied clothing images.

A new approach combines machine learning with traditional methods for solving complex math problems.

A new method generates realistic data for training models in identity verification.

A look into causal inference methods and the role of Structural Causal Models.

Scientists are using machine learning to study particle networks behavior and properties.

Exploring how small groups can spark excitement in large gatherings.

Researchers enhance Swiss German speech recognition through innovative data generation.

Learn how VLMs are changing time series classification with visual data.

Discover the benefits of taking a slow approach to geometric understanding.

Discover how HunyuanProver changes the way we tackle complex math problems.