S-EMBER - Free-Form Clean Accuracy: leaderboard

Streaming egocentric memory retrieval (S-EMBER, Wang et al., Meta, 2026): 9,448 questions about 388 hours of first-person video from Ray-Ban Meta glasses, each asked at a trigger time and answerable only from what the wearer saw earlier, with open models given 128 uniformly sampled frames and proprietary models their platform limits. Free-form answers are graded by a Gemini 3.1 Flash judge against three reference answers and count only if they add no unsupported detail; accuracy in percent, higher is better.

Metric: Clean accuracy (%; free-form answer judged correct by Gemini 3.1 Flash and containing no detail unsupported by the three reference answers) (S-EMBER: 9,448 questions on 3,141 egocentric Ray-Ban Meta videos, answered from the stream up to the question's trigger time; open models at 128 uniformly sampled frames, proprietary models at their platform limits). Source: arxiv.org. Saturation forecast: Around June 2027. 5 models tracked.

Top models

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=s-ember-free-form-clean-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-12.