activity
20202026
most citedAgent AI: Surveying the Horizons of Multimodal Interaction

48 citations · 54 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

WebRider: Persona-Conditioned Intent Controllers for Live-Web Assistance

Zhi Li, Tao Zhou, Yeqing Li +2

Delegating a web task involves more than asking a question; it requires transferring a policy: what to verify, how to handle uncertainty, which preferences matter, and when to stop…

cs.AI2026

Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft

Zhou Ziheng, Huacong Tang, Jinyuan Zhang +9

Discovering causal regularities and applying them to build functional systems--the discovery-to-application loop--is a hallmark of general intelligence, yet evaluating this capacit…

cs.AI20241 cited

TeamCraft: A Benchmark for Multi-Modal Multi-Agent Systems in Minecraft

Qian Long, Zhi Li, Ran Gong +3

Collaboration is a cornerstone of society. In the real world, human teammates make use of multi-sensory data to tackle challenging tasks in ever-changing environments. It is essent…

cs.AI2024

Inverse Attention Agents for Multi-Agent Systems

Qian Long, Ruoyan Li, Minglu Zhao +2

A major challenge for Multi-Agent Systems is enabling agents to adapt dynamically to diverse environments in which opponents and teammates may continually change. Agents trained us…

cs.AI2024

An Interactive Agent Foundation Model

Zane Durante, Bidipta Sarkar, Ran Gong +17

The development of artificial intelligence systems is transitioning from creating static, task-specific models to dynamic, agent-based systems capable of performing well in a wide…

cs.AI202448 cited

Agent AI: Surveying the Horizons of Multimodal Interaction

Zane Durante, Qiuyuan Huang, Naoki Wake +11

Multi-modal AI systems will likely become a ubiquitous presence in our everyday lives. A promising approach to making these systems more interactive is to embody them as agents wit…