Latest Articles for Fine-tuning

A new method enhancing model performance through effective outlier management.

Introducing Random Subspace Adaptation for efficient language model fine-tuning.

A project focused on improving story generation in Arabic using advanced models.

Strategies for improving machine learning models with shifting datasets.

Researchers develop methods to improve language models for various languages.

WeLore brings efficiency to large language models by simplifying weight matrices.

This paper studies how training influences the predictions of large language models.

Study assesses language models' adaptability in summarizing diverse topics.

Discover how transfer learning improves model outcomes using knowledge from related tasks.

A study on how well LLMs function as reliable knowledge bases.

A look at how open-source models measure up against commercial counterparts in biomedical tasks.

Examining issues with large language models in predicting missing list items.

This paper examines backdoor attacks and their implications on machine learning security.

A new method enhances object detection in remote sensing images.

Research enhances language models' ability to process time-related information in tables.

A new method improves how vision-language models adapt during testing.

A new approach to assess model performance and knowledge retention.

This study enhances ultrasound fetal head measurement using deep learning techniques.

A method to improve language model behavior against harmful outputs.

A new method enhances RL agents' adaptability to changing environments.

pRAGe helps simplify medical terms for better patient understanding.

This study assesses machine learning models for classifying German policy-related webpages.

Researchers improve neural PDE models using pretrained lower-dimensional equations for better performance.

Examining how deep belief networks can learn from data and create complex representations.

Research enhances ASR systems using language models for better accuracy.

XLIP enhances diagnosis by integrating medical images and text descriptions.

A new method enhances 2D models by incorporating 3D features for improved performance.

This framework enhances AI model access and efficiency using hybrid sharding.

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

New training methods enhance LLMs for better online product suggestions.

Gemma 2 offers high performance in a compact size for language tasks.

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

Discover how LLMs can streamline data extraction in materials science.

Enhancing smaller language models like MiniCPM through effective fine-tuning practices.

Exploring AI tutors' role in enhancing robotics education through advanced techniques.

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.