Naibo Wang — accepted AI-conference papers

2026

DRAMA: Next-Gen Dynamic Orchestration for Resilient Multi-Agent Ecosystems in Flux

Xinkui Zhao, Yifan Zhang, Sai Liu, Naibo Wang, Guanjie Cheng, Yueshen Xu +3

CVPR 2026

Embodied Multi-Agent Systems have proven highly effective in addressing complex tasks through coordinated collaboration among heterogeneous agents. However, real-world environments and task specifications are inherently dynamic, exhibiting frequent changes, uncertainty, and variability. Despite thes

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2025

AgentPro: Enhancing LLM Agents with Automated Process Supervision

Yuchen Deng, Shichen Fan, Naibo Wang, Xinkui Zhao, See-Kiong Ng

EMNLP 2025

Large language model (LLM) agents have demonstrated significant potential for addressing complex tasks through mechanisms such as chain-of-thought reasoning and tool invocation. However, current frameworks lack explicit supervision during the reasoning process, which may lead to error propagation ac

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