1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2025
Enhancing LLM-Based Agents via Global Planning and Hierarchical Execution
Junjie Chen, Haitao Li, Jingli Yang +2
Intelligent agent systems based on Large Language Models (LLMs) have shown great potential in real-world applications. However, existing agent frameworks still face critical limita…
cs.AI2025
PoAct: Policy and Action Dual-Control Agent for Generalized Applications
Guozhi Yuan, Youfeng Liu, Jingli Yang +6
Based on their superior comprehension and reasoning capabilities, Large Language Model (LLM) driven agent frameworks have achieved significant success in numerous complex reasoning…
cs.CL2024★ 1 cited
LegalAgentBench: Evaluating LLM Agents in Legal Domain
Haitao Li, Junjie Chen, Jingli Yang +10
With the increasing intelligence and autonomy of LLM agents, their potential applications in the legal domain are becoming increasingly apparent. However, existing general-domain b…