Latest Articles for Data Science

MM-RCR enhances the prediction of optimal reaction conditions in chemical synthesis.

A new dataset aims to improve scientific poster creation through layout analysis.

A new method enhances interpolation accuracy using learned scaling functions.

Exploring how diverse datasets enhance small language models in healthcare.

A system that creates unique drum rhythms based on written prompts for musicians.

Introducing PolyRAG, a system that enhances accuracy in information retrieval across specialized fields.

New techniques enhance sample quality in discrete diffusion models.

Exploring human biases and their impact on AI fairness.

New dataset and model improve predictions of aircraft movements at airports.

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

New methods enhance semantic segmentation by considering relationships between classes.

This study introduces a new method for positional encodings in directed graphs.

Introducing CNES for efficient link prediction in changing networks.

New training methods enhance LLMs for better online product suggestions.

New synthetic data approach improves privacy in federated learning.

A look at how we measure the intelligence of AI language models.

SynthVLM creates high-quality synthetic data for training vision language models efficiently.

BVI-AOM offers a diverse resource for optimizing video compression techniques.

JaColBERTv2.5 enhances Japanese retrieval performance with less data.

Meltemi 7B brings advanced AI tools to Greek speakers.

A new approach to enhance efficiency in multi-task learning using low-rank matrices.

Exploring self-distillation's benefits and applications in enhancing machine learning models.

A new dataset for analyzing identity documents to aid online services.

This study examines methods to enhance Italian language models in specialized fields.

A look into improved methods for adjusting learning rates in machine learning models.

This research studies the impact of pruning and random structures on RNN performance.

New methods improve treatment effect estimation for heavy-tailed outcomes in experiments.

A new method enhances sparse language model training while minimizing performance loss.

A method for developing resilient policies for drones in uncertain environments.

A new approach to optimize circuit runs in quantum kernel estimation.

Addressing issues in tracking solar panel installations through advanced technologies.

New method enhances Graph Neural Network training efficiency and accuracy.

Penzai and Treescope simplify model manipulation and visualization in machine learning.

CAF-PoNo improves causal analysis using normalizing flows, ensuring invertibility in complex relationships.

RUM neural networks leverage random walks and memory for enhanced graph processing.

This article examines how feedback shapes machine learning practices in Jupyter notebooks.

Synthetic data poses risks in training machine learning models for medical imaging.

New methods aim to enhance the speed and efficiency of deep learning models.

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

Learn how graph embedding can improve analysis of complex networks.