Tech Xplore

AI models stumble on basic multiplication without special training methods, study finds

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
GitHub

Fine Tuning Hybrid Dynamics

In this work, we introduce Fine Tuning Hybrid Dynamics (FTHD), a novel physics-informed neural network (PINN) model that integrates hybrid loss functions to model vehicle dynamics, estimate tire model ...
IEEE

Attribution-Aided Nonlinear Granger Causality Discovery Method and Its Industrial Application

Abstract: Granger causality has emerged as a valuable tool in comprehending industrial processes and facilitating data modeling by unveiling the inherent relationships within the data. However, the ...
IEEE

Mobile-LLaMA: Instruction Fine-Tuning Open-Source LLM for Network Analysis in 5G Networks

Abstract: In the evolving landscape of 5G networks, Network Data Analytics Function (NWDAF) emerges as a key component, interacting with core network elements to enhance data collection, model ...
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 ...