Papers by Pablo Cesar

1 papers
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality (2024.findings-acl)

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Challenge: a fine-grained, comprehensive understanding of multimodal environments remains under-explored.
Approach: They propose an automated workflow for integrating AI agents into extended reality (XR) they propose a cerebral language agent that integrates LLM with memory, planning, and interaction with XR tools and a vision-language agent .
Outcome: The proposed workflow integrates AI agents seamlessly into extended reality (XR) applications for fine-grained training.

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