large language models

ZIVIL: Zero-Shot Incremental Vision–Language Maps and Spatial Graph Representation of Construction Sites

This framework combines simultaneous localization and mapping (SLAM), visual-language feature extraction, incremental semantic and instance label fusion, and spatial graph construction to enable a construction robot navigation framework that supports open-vocabulary language queries.

Digital narrative inflation and corporate innovation: Evidence from large language model semantic scoring

A Multiagent Large Language Model–Based System for Early-Stage Building Layout Planning

A multiagent large language model (LLM)–based system for early-stage building layout planning, which enables flexible design requirement inputs and robust spatial reasoning and demonstrated significant improvements in both geometric quality and semantic alignment over a baseline LLM-only system.

Prompt and sequential selection transfer based large language model for traffic prediction with limited data

Large language models for question-driven chemometric analysis: Automated generation of R workflows

Tiny Large Language Models for IoT networks: Potentials and challenges

A comprehensive survey of prompt engineering and context engineering techniques in large language models

Retrieval-Augmented Multimodal Large Language Models for Visual Question Answering of Construction Occupational Health and Safety Hazards

A visual knowledge enhancement framework for construction OHS visual question answering (VQA) based on multimodal large language models (MLLMs) and retrieval-augmented generation (RAG) is proposed, augmenting managerial capacity for reliable and objective OHS hazard prevention.