6 papers
GLM-5: from Vibe Coding to Agentic Engineering
GLM-5-Team, :, Aohan Zeng +184
We present GLM-5, a next-generation foundation model designed to transition the paradigm of vibe coding to agentic engineering. Building upon the agentic, reasoning, and coding (AR…
Budget-Constrained Agentic Large Language Models: Intention-Based Planning for Costly Tool Use
Hanbing Liu, Chunhao Tian, Nan An +4
We study budget-constrained tool-augmented agents, where a large language model must solve multi-step tasks by invoking external tools under a strict monetary budget. We formalize…
Cost-Aware Bayesian Optimization for Prototyping Interactive Devices
Thomas Langerak, Renate Zhang, Ziyuan Wang +2
Deciding which idea is worth prototyping is a central concern in iterative design. A prototype should be produced when the expected improvement is high and the cost is low. However…
A Survey on Human-AI Collaboration with Large Foundation Models
Vanshika Vats, Marzia Binta Nizam, Minghao Liu +20
As the capabilities of artificial intelligence (AI) continue to expand rapidly, Human-AI (HAI) Collaboration, combining human intellect and AI systems, has become pivotal for advan…
RUM: Rule+LLM-Based Comprehensive Assessment on Testing Skills
Yue Wang, Zhenyu Chen, Yuan Zhao +3
Over the past eight years, the META method has served as a multidimensional testing skill assessment system in the National College Student Contest on Software Testing, successfull…
Knowledge-Guided Wasserstein Distributionally Robust Optimization
Zitao Wang, Ziyuan Wang, Molei Liu +1
Transfer learning is a popular strategy to leverage external knowledge and improve statistical efficiency, particularly with a limited target sample. We propose a novel knowledge-g…