Large language model (LLM) agents have shown strong performance in long-horizon tasks that require planning, tool use, and interaction with external environments. However, most existing benchmarks implicitly assume a monolingual setting, where the entire execution process, includ…
Accurate and efficient quality inspection and acceptance are essential for ensuring construction performance and reducing rework in building projects; however, conventional inspection methods are labor-intensive, subjective, and difficult to scale in complex construction environm…
Understanding how collaborative network structures and digital transformation jointly shape firm innovation has become a critical issue amid rapid technological change. Drawing on social network theory and a configurational perspective, this study investigates the nonlinear and i…