Ambient @ EgoLongQA 2026: Distilling Long-Video perception into a Sub-2B Model

A single 2B-parameter vision-language model placed first in the ≤2B parameter division of the EgoLongQA track of the Wearable-AI Challenge at ECCV 2026, scoring 0.8279 on the held-out test set. The system, described by its developers, answers multiple-choice questions about ten-minute egocentric videos.

We describe our entry to the EgoLongQA track of the Wearable-AI Challenge in ECCV 2026, which placed first in the <=2B parameter division with 0.8279 on the held-out test set. Our system is a single 2B vision-language model that answers multiple-choice questions about ten-minute egocentric videos in