Latest Articles for Data Science

Introducing Hippocrates, a framework advancing medical LLMs through open access and collaboration.

New approach reveals how AI predicts material properties transparently.

Creating resources for DocRE in Japanese through innovative dataset development.

A new method, InsTa, enhances task selection in instruction tuning.

Learn how new methods improve models' visual and textual connections.

IMWA enhances model performance in class-imbalanced learning tasks efficiently.

A new method enhances efficiency and accuracy in nearest neighbor searches.

A study on adapting LLMs for efficient clinical note generation.

Examining the challenges and solutions for fairness in algorithmic decision-making.

Techniques to improve model learning through better training data usage.

Introducing new strategies for efficient convex optimization problem solving.

A look at clustering concepts, types, and real-world uses.

The Projected Newton method improves efficiency in Bayesian linear inverse problems.

Researchers use semi-supervised learning for better medical image predictions.

This article discusses using image captions to find videos efficiently.

A new method improves SVM training speed and accuracy with large datasets.

Introducing a new method to enhance facial diversity in AI datasets.

A new method enhances predictive power by converting tabular data into images.

A new method enhances autoencoders for better data representation.

A new model combines quantum computing and transformers for enhanced machine learning.

A new method improves handwritten text recognition across various handwriting styles.

Learn about ProjGD's advantages for low-rank matrix estimation.

PatentGPT models are designed to address unique challenges in Intellectual Property.

A new framework for assessing the performance of RAG systems.

Neural FDEs combine neural networks and fractional differential equations for improved modeling of complex systems.

A concise look at hallucinations in MLLMs and strategies to improve reliability.

A new method enhances accuracy in price prediction by refining feature selection.

A two-stage training method enhances Neural ODEs for constrained systems.

Study reveals methods to enhance clarity in reporting randomized controlled trials.

Quantum models enhance image classification accuracy by addressing variations and rotations.

CNFs use differential equations to model complex probability distributions effectively.

A new method to correct for bias in recommendation systems.

This article discusses geometric functional analysis and its connection to probability.

Exploring how transfer learning impacts model effectiveness across different data contexts.

New methods enhance training in decentralized federated learning systems.

A model adapts to various image tasks using minimal examples.

Discover GRAWA, a method improving distributed training for deep learning models.

A framework to enhance reasoning accuracy in LLMs through structured verification.

Addressing the issues of SHAP scores for better model explanation.

A new model improves risk assessment for AML patients using machine learning techniques.