Latest Articles for Fine-tuning

A novel method combines self-supervised and active learning for efficient activity recognition.

Learn how CrAFT enhances model compression without losing performance.

Research shows tensor decomposition improves neural network performance while reducing size.

This study investigates AI's ability to generate poetry in Whitman's style.

Analyzing how LLMs predict user ratings effectively.

Improving small models for medical questions through innovative techniques and data methods.

Exploring AI's role in generating engaging comic stories and visuals.

A new method for tuning language models effectively and quickly.

Introducing Inclusive Learning from Human Feedback for improved language models.

This article discusses improving multilingual model performance through enhanced fine-tuning methods.

Using a small model to refine outputs of large language models shows significant improvements.

This work introduces tasks for machines to reason about objects using visual context.

Research uncovers the effectiveness of pre-trained models for detecting unusual data.

This method enhances language models for specific areas efficiently.

Research shows lexicon-based prompts enhance style classification tasks in language models.

A method to enhance black-box language models using smaller, trainable models.

Research highlights the importance of representation consistency in NLP models.

This study examines how language models respond to errors in text.

Examining bias in language models and methods to reduce it.

New training method improves language model performance using better example selection.

APT offers a flexible approach to improve language model performance.

New method enhances knowledge retention in language models through importance weighting.

Researchers push boundaries of language models with few-shot learning techniques.

This study evaluates how well language models use learned knowledge in practical tasks.

Explore the latest model for generating images from text with speed and quality.

Innovative methods improve NLP model efficiency and performance with fewer resources.

New method improves speech recognition models while reducing knowledge loss.

Research shows how machines represent information similarly to human thinking.

New approaches in fine-tuning improve performance and reduce resource use.

A new benchmark evaluates generative retrieval performance in changing information environments.

Efforts to improve machine translation for low-resource indigenous languages in the Americas.

A project aims to improve translation between Mazatec, Mixtec, and Spanish.

This study explores new methods for improving math problem-solving using language models.

Exploring new methods to enhance language models using few-shot paraphrasing.

New benchmark assesses language models' grasp of negation in various contexts.

New quantization method improves AI model efficiency and deployment.

New method improves accuracy in medical image analysis with limited data.

Addressing challenges in voice recognition of African names for better user experience.

Exploring how first names affect language model responses and fairness.

New methods improve brain activity analysis using machine learning and fMRI data.