Latest Articles for Data Science

VidGen-1M improves video generation from text with high-quality data.

Open dataset aids study of Windsor body aerodynamics for improved car design.

A new approach for effective dimension reduction in classification tasks.

SignedLouvain improves detection of communities in networks with positive and negative relationships.

This article discusses enhancing aspect-based summaries using fine-tuned language models.

A new method enhances labeling accuracy for multimodal data classification.

New methods enhance accuracy in indoor positioning using machine learning techniques.

UnifiedMLLM simplifies task handling by integrating various modalities into one model.

GATH enhances knowledge graph completion using advanced attention mechanisms for better accuracy.

FPT+ enhances transfer learning for high-resolution medical images with minimal resources.

A new approach to improve representation of intersectional identities in image search.

Using LLMs improves annotation processes in scientific knowledge graphs.

A new approach lowers memory needs while keeping recommendations relevant.

A new model improves sequence generation by combining the strengths of VAEs and SSMs.

A look at methods to understand dynamical systems through data-driven approaches.

A new method balances efficiency and accuracy in image classification.

NFE offers an efficient way to enhance model performance without heavy computational costs.

New methods improve efficiency in machine learning model selection.

A new algorithm improves data sharing and machine learning efficiency using synthetic datasets.

This article examines how synthetic data boosts OCR error correction performance.

A new method enhances computer vision with RGB-D data and curriculum learning.

The study highlights challenges LLMs face with low-resource languages.

A new method improves accuracy in advanced AI models by addressing hallucinations.

Researchers enhance gaze prediction accuracy through improved EEG data processing methods.

A novel approach to enhance understanding of GNN predictions through causal relationships.

This article explores best practices for integrating HCI datasets in ML courses.

A new framework improves alignment of language models with user preferences.

A new approach combines labeled and unlabeled data for better image segmentation.

Introducing a new method for improving clustering techniques using distribution learning.

A new method blends visual and temporal analysis for art evaluation.

ULLME enhances text embeddings and retrieval tasks using large language models.

A new approach enhances dataset distillation by prioritizing alignment in data extraction and embedding.

A new method for safer predictions in critical applications.

A new method enhances detection of malicious activities in computer networks.

A new method estimates causal effects using few interventions even with hidden factors.

DaVE offers examples to help visualize complex data effectively.

A new framework enhances GNNs for better combinatorial optimization solutions.

An analysis of large language models and their translation capabilities across various languages.

A new system enhances medical inquiries by merging LLMs with knowledge graphs.

Utilizing LLMs to enhance e-commerce tasks through instruction tuning and quantization.