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

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

This survey systematically reviews PEFT methods that update only 0.1–5% of model parameters while achieving good performance across diverse audio tasks, the first survey to comprehensively examine PEFT techniques specifically for audio foundation models.

Portfolio optimization via FALQON variants: warm starting, XY mixing, and circuit depth reduction

Results show that mixer design plays a central role in convergence and solution visibility in FALQON combined with transverse-field, XY, and warm start mixers.

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

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.

Remarks on Testing Goodness of Fit in AR(p) Models Using the Half-Sample Device

Detection of unobserved common causes under additive noise models based on NML code for discrete, mixed, and continuous variables

The causal relationship between two random variables is categorized into four categories: two direct-case cases, two cases in which the variables are independent, and a case in which the variables are confounded by unobserved common causes.