AI RESEARCH
AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results
arXiv CS.AI
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ArXi:2502.15761v3 Announce Type: replace-cross The deployment of large language models (LLMs) on extended reality (XR) devices has great potential to advance the field of human-AI interaction. In the case of direct, on-device model inference, selecting the appropriate model and device for specific tasks remains challenging. In this paper, we present AIvaluateXR, a comprehensive evaluation framework for benchmarking LLMs running on XR devices.