Qualcomm's IVD benchmark shows VLMs lag humans badly at real-time face-to-face Q&A
rishit_dagli · x · 2026-10-02
Qualcomm researchers (including Rishit Dagli) released a paper and the Qualcomm Interactive Video Dataset (IVD) on arXiv, testing whether VLMs can converse in real time about live camera scenes.
- Setup: users ask questions to a camera+microphone system that must answer in real time from visual and audio input — a prerequisite for real-world AI assistants and humanoid robots.
- Key finding: existing models fall far behind human performance, and the paper identifies the main sources of the gap.
- Takeaway: fine-tuning on this type of data significantly closes the gap for many perceptual skills; the paper shares data and training techniques for VLMs in such settings.
Related event: Qualcomm's IVD Benchmark Shows VLMs Lag Far Behind Humans in Real-Time Q&A(2 posts)→
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