Unlearning: Dynamics of Membership Privacy and Inference Attacks Against Large Language Models Read more about Unlearning: Dynamics of Membership Privacy and Inference Attacks Against Large Language Models
Theoretical and Algorithmic Foundations of In-Context Learning Using Properly Trained Transformer Models Read more about Theoretical and Algorithmic Foundations of In-Context Learning Using Properly Trained Transformer Models
Structured & Robust Neural Network Pruning on Low-Precision Hardware for Guaranteed Learning Performance for Complex Time-Series Datasets Read more about Structured & Robust Neural Network Pruning on Low-Precision Hardware for Guaranteed Learning Performance for Complex Time-Series Datasets
Resource-Effective Fine-Tuning of Large Language Models Read more about Resource-Effective Fine-Tuning of Large Language Models
Optimization of Hardware-based Neural Networks Accelerators for Fluorescence Lifetime Biomedical Applications Read more about Optimization of Hardware-based Neural Networks Accelerators for Fluorescence Lifetime Biomedical Applications
Multi-Objective Training of Foundation Acoustic Models for Automatic Speech Recognition Read more about Multi-Objective Training of Foundation Acoustic Models for Automatic Speech Recognition
Molecular nanoengineering of post-Cu-metal/dielectric interfaces for nanodevice wiring Read more about Molecular nanoengineering of post-Cu-metal/dielectric interfaces for nanodevice wiring
Low-precision second-order-type distributed methods for training and fine-tuning foundation Read more about Low-precision second-order-type distributed methods for training and fine-tuning foundation
Foundational Models for Understanding Tabular Data Through AI Automation Read more about Foundational Models for Understanding Tabular Data Through AI Automation
