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InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants

109 upvotes · 25 OCT 2026 · Qinsi Wang, Wei Wen, Chong Zhou et al.

This paper creates a simulated environment where a human and AI assistant interact, allowing researchers to test how well AI assistants can guide humans in the physical world. Practitioners might care because it could lead to more reliable AI assistants that can truly help people with tasks like remembering what to do.

multimodal large language modelshuman-robot interactionegocentric AIcontinual human-AI collaborationbenchmarking