large language models

Unsupervised column relevance extraction for table-based fact verification via structured and explainable large language model reasoning

Intelligent Recommendation for Safety Risk Precontrol Knowledge in Mega Hydropower Engineering Construction: A Hybrid Method Driven by Textual Semantics

This study provides a reusable computational framework for building a proactive safety prevention and control system in the global hydropower and large-scale infrastructure construction sectors and offers significant value as a reference for the intelligent transformation of knowledge-driven engineering safety manageme...

A mechanism-constrained large language model-based intelligent diagnosis framework for bridge defects

Dynamic Event Knowledge Graph–Based Fault Diagnosis for Multisensor Electromechanical Systems of Aviation Equipment and Its Application

An event knowledge graph is leveraged for UAV sensor fault diagnosis: the graph’s architecture inherently structures the array of distinct sensors, and causal logic derived from event progression boosts the graph nodes’ ability to extract meaningful features, and a relationship-focused attention mechanism captures spat...

Multimodal large language models for ADOS-M1 behavioral assessment

Substance, Form, and Machines: AI Assistance and Human Normative Judgment in Taxation

The article proposes an accountable tax-AI architecture built on task classification, authoritative and time-stamped sources, explicit assumptions, traceable evidence, mandatory escalation, reason-giving, taxpayer contestability, and post-deployment audit that treats AI as an evidentiary and analytical assistant while...

When the algorithm enters the classroom: A critical integrative review of large language models, nursing education structural gaps, and the reconstitution of professional identity

Privacy preserving federated fine tuning of large language models for Autonomous Aerial Vehicles command generation

An unsupervised graph attention network empowered by large language models for knowledge graph grounded medical question answering

TOGLAS: Transistor-level OpAmp design Generation with Large language model-Assisted hierarchical topology Synthesis

Knowledge graphs and large language models for prompt-based scientometric inquiry

A randomized decision-making approach for cross-domain product conceptual design integrating large language model and unbalanced trapezoidal cloud model