SAVVY-Bench tests audio-visual LLMs on dynamic 3D spatial questions, and the SAVVY pipeline, combining visual tracks with spatial audio and global mapping, lifts Gemini-2.5-pro accuracy from 50.9% to 58.0%.
Shelton and Timothy P
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
SAVVY-Bench tests audio-visual LLMs on dynamic 3D spatial questions, and the SAVVY pipeline, combining visual tracks with spatial audio and global mapping, lifts Gemini-2.5-pro accuracy from 50.9% to 58.0%.