4 papers
XferAgent: Cross-Agent Experience Transfer for Self-Improving LLM Agents
Weihao Li, Jun Bai, Shijie Chen +3
Large language model (LLM) agents can reuse experience from prior task executions to improve performance on subsequent tasks. Although existing methods enable cross-agent experienc…
FedAgentKE: Federated Semantic Knowledge Evolution for Heterogeneous Agents
Weihao Li, Jun Bai, Ziyang Song
Large language model (LLM)-based agents increasingly rely on reasoning, tool use, and iterative execution, yet existing agent frameworks still operate largely in isolation. While r…
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models
Kunhao Li, Wenhao Li, Di Wu +4
Multimodal Large Language Models (MLLMs) extend foundation models to real-world applications by integrating inputs such as text and vision. However, their broad knowledge capacity…
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks
Kunhao Li, Di Wu, Jun Bai +7
Graph-structured data is prevalent in many real-world applications, including social networks, financial systems, and molecular biology. Graph Neural Networks (GNNs) have become th…