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About

Jianfeng Gao is a prominent AI researcher whose work sits at the cutting edge of multimodal intelligence, conversational AI, and autonomous agent systems. His research explores how artificial intelligence can move beyond narrow, static tasks toward dynamic, holistic reasoning in real-world environments — a vision reflected across his most influential publications. Gao's early contributions include the Recursive Mental Model (RMM) for dialogue navigation, which advanced the field by tackling the underexplored challenge of agents that both ask and interpret questions during navigation tasks, earning 32 citations. More recently, he has helped pioneer foundation models for agentic AI, including Magma (2025), a multimodal model bridging digital and physical world interactions with 19 citations, and an Interactive Agent Foundation Model that proposes novel multi-task training paradigms for adaptable AI systems. His 2024 position paper on Agent AI advocates for moving away from reductionist approaches toward genuinely integrated, holistic intelligence — signaling his broader influence on the philosophical direction of the field. Across these works, Gao has established himself as a leading voice shaping how AI agents perceive, communicate, and act across diverse, open-ended environments.