Latest Articles for Fine-tuning

Using AI to simplify access to scientific knowledge for all.

Examining vulnerabilities in vision transformers and downstream models through transfer attacks.

Analyzing public sentiment on social media about the Ukraine-Russia conflict in Eastern European languages.

This study highlights a new method to fine-tune language models effectively.

TOGGL model improves transcription accuracy for overlapping speech situations.

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

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

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

A quick method for editing images using simple text prompts.

A new method enhances topic modeling using fine-tuned language models.

A new method enhances synthetic data quality for better language model alignment.

InfinityMath improves math skills in language models through quality datasets.

Research reveals how to make speech models smaller and more efficient.

R-Adapter enhances efficiency and robustness in model fine-tuning for image and text tasks.

CROME makes multimodal models easier to use with less training required.

Introducing Med42-v2, specialized models for accurate healthcare communication.

Enhancing robots' decision-making skills for space exploration.

Exploring how RL improves diffusion models for targeted outcomes.

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

A new optimizer shows promise for fine-tuning pretrained models.

Researchers enhance text embedding models using expert scores for better performance.

This study assesses AI accuracy in diagnosing malaria across different healthcare settings.

Researchers create a dataset to improve language models' ethical decision-making.

Exploring efficient methods for fine-tuning LLMs and addressing environmental concerns.

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

Research shows effective replacement of Positional Embeddings in translation models.

Examining the role of data in enhancing translation for low-resource languages.

This article examines how models recognize tone, stress, and pitch accents.

A look at the benefits of local models and LLMOps pipelines.

The study examines the effectiveness of specialized LLMs in clinical tasks.

Learn how custom chatbots can improve educational experiences in higher education.

A new method helps identify test data contamination in LLMs using token probabilities.

Discover efficient methods for fine-tuning large language models using Gaussian noise.

A new algorithm improves dataset efficiency for fine-tuning language models.

Exploring how LLMs are shaping the future of healthcare.

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

New method combines expert knowledge with large models to analyze industrial vibration signals.

A new method leverages speech data to improve autism assessments.

New methods improve how robots learn and adapt to tasks.

New methods improve image generation efficiency on limited devices.