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Researchers from Tsinghua and South China University of Technology introduced Atomic Task Graph (ATG), a framework that enables 7B-8B open-source models to surpass GPT-4 on complex agent benchmarks without fine-tuning, by using directed graph-based planning and internal simulation to drastically reduce hallucination rates.
MultiUAV-Plat is a lightweight simulation platform and benchmark for evaluating LLM agents on multi-UAV collaborative task planning tasks. The paper also proposes Agent4Drone, a task-specific LLM agent framework that significantly outperforms baselines.
UI-KOBE proposes a framework that enhances lightweight mobile GUI agents by constructing and leveraging app-specific knowledge graphs to improve task planning and execution efficiency.