4 papers
PRIME: Training Free Proactive Reasoning via Iterative Memory Evolution for User-Centric Agent
Prince Zizhuang Wang, Shuli Jiang
The development of autonomous tool-use agents for complex, long-horizon tasks in collaboration with human users has become the frontier of agentic research. During multi-turn Human…
AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks
Prince Zizhuang Wang, Shuli Jiang
With the rise of personalized, persistent LLM agent frameworks such as OpenClaw, human-centered agentic social networks in which teams of collaborative AI agents serve individual u…
Asymmetric Actor-Critic for Multi-turn LLM Agents
Shuli Jiang, Zhaoyang Zhang, Yi Zhang +3
Large language models (LLMs) exhibit strong reasoning and conversational abilities, but ensuring reliable behavior in multi-turn interactions remains challenging. In many real-worl…
SLEA-RL: Step-Level Experience Augmented Reinforcement Learning for Multi-Turn Agentic Training
Prince Zizhuang Wang, Shuli Jiang
Large Language Model (LLM) agents have shown strong results on multi-turn tool-use tasks, yet they operate in isolation during training, failing to leverage experiences accumulated…