IEEE

LLM-Guided Dual-Branch Diffusion Model for Fine-Grained Motion Synthesis

Abstract: Given a complex text description, existing studies have indeed made significant progress in motion synthesis, which largely overlook the fine-grained action information from expressive texts ...
IEEE

Privacy-Preserving Federated Learning through Clustered Sampling on Fine-Tuning Distributed non-iid Large Language Models

Abstract: Recently, Large Language Models (LLMs) have been a phenomenal trend in the Artificial intelligence field. However, training and fine-tuning can be challenging because of privacy concerns and ...
BethAnn Averill on MSN

Christmas pin poke activity a festive fine motor practice for preschoolers

Inside: Christmas Pokey Pin for Kids If you’re looking for a calm, hands-on activity that helps preschoolers strengthen their ...
GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
Microsoft

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

In recent years, Large Language Models (LLMs) have shown remarkable performance in generating human-like text, proving to be a valuable asset across various applications. However, adapting these ...