2 citations · 3 across the 7 of their papers we have counts for
4 papers · 1 filter
Arbor: Tree Search as a Cognition Layer for Autonomous Agents
Neha Prakriya, Chaojun Hou, Zheng Gong +5
Arbor is a multi-agent framework that introduces structured tree search as a cognition layer for autonomous agents operating in large, stateful action spaces. Prior autonomous opti…
MobiFlow: Real-World Mobile Agent Benchmarking through Trajectory Fusion
Yunfei Feng, Xi Zhao, Cheng Zhang +5
Mobile agents can autonomously complete user-assigned tasks through GUI interactions. However, existing mainstream evaluation benchmarks, such as AndroidWorld, operate by connectin…
Beyond Training: Enabling Self-Evolution of Agents with MOBIMEM
Zibin Liu, Cheng Zhang, Xi Zhao +6
Large Language Model (LLM) agents are increasingly deployed to automate complex workflows in mobile and desktop environments. However, current model-centric agent architectures str…
RAVR: Reference-Answer-guided Variational Reasoning for Large Language Models
Tianqianjin Lin, Xi Zhao, Xingyao Zhang +5
Reinforcement learning (RL) can refine the reasoning abilities of large language models (LLMs), but critically depends on a key prerequisite: the LLM can already generate high-util…