A survey of parameter-efficient fine-tuning techniques for audio foundation models

MEPO-SLM: multi-objective evolutionary prompt optimization for energy-efficient small language models on edge devices

MEPO-SLM is presented, a framework that reformulates prompt engineering for SLMs as a four-objective Pareto problem over task inaccuracy, and Phi-3-mini and Gemma-2B on English TriviaQA and Arabic medical QA, and TinyLlama-1.1B on TriviaQA only are evaluated.

Adaptation-based control approach via describing function to adjust PWPF modulator parameters

Adaptive gradient-norm weighting for improved domain adversarial training

Unsupervised domain adaptation (UDA) transfers knowledge from a labeled source domain to an unlabeled target domain by jointly optimizing source classification and domain-alignment objectives. A key practical challenge is selecting the trade-off coefficient λ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackag...

Generalized adaptive bridge regression: a unified framework for high-dimensional architecture discovery

The generalized adaptive bridge regression (GABR) framework successfully identifies optimal, off-grid grouping architectures and is evaluated on simulated architectures, demonstrating its dynamic adaptivity to structural sparsity, collinearity, and varying signal-to-noise ratios.

Flexibly Incorporating Prior Information Into Subset Scan Statistics

Forecasting the Term Structure of Crude Oil Futures Prices Under Mean-Reverting Dynamics and Deep Learning Models