IEEE

Auxiliary Optimization With Resource Allocation for Constrained Multiobjective Problems

Abstract: Utilizing various auxiliary optimization problems (AOPs) to help the optimization for constrained multiobjective problems (CMOPs) has recently drawn substantial attention. However, two key ...

Manifold-Constrained Hyper-Connections: The Architectural Breakthrough That Might Redefine LLM Training

If mHC scales the way early benchmarks suggest, it could reshape how we think about model capacity, compute budgets and the ...
marktechpost

How to Align Large Language Models with Human Preferences Using Direct Preference Optimization, QLoRA, and Ultra-Feedback

In this tutorial, we implement an end-to-end Direct Preference Optimization workflow to align a large language model with human preferences without using a reward model. We combine TRL’s DPOTrainer ...
IEEE

A Dual-Surrogate Competition-Assisted Evolutionary Algorithm With Triggered Constraint First Search for Expensive Constrained Optimization

Abstract: Expensive constrained optimization problems (ECOPs), which frequently arise in real-world engineering optimization, are often limited by the number of evaluations. Using surrogate-assisted ...