Auto71%Harbor: pendingMultimodalLong Context

EgoProbe

EgoProbe: Benchmarking Long-Range and Exact Memory in Streaming Egocentric Videos

EgoProbe evaluates long-range retention and exact event-specific recall in streaming egocentric videos using 2,366 QA pairs and 1,229 two-turn dialogues with human verification.

How to run

ltb · egoprobe
$ npm i -g lettokenburn-cli
$ ltb bench info egoprobe

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

13 sourced entries
HarnessSourceConfidenceLink
GPT-5.6 Sol55.3N/AIndependentmediumOct 12, 2026arxiv.org
VideoChat-Flash53.2N/AIndependentmediumOct 12, 2026arxiv.org
LLaVA-OneVision-252.1N/AIndependentmediumOct 12, 2026arxiv.org
Gemini-3.5-flash51.1N/AIndependentmediumOct 12, 2026arxiv.org
StreamForest50.7N/AIndependentmediumOct 12, 2026arxiv.org
EM 2 Mem47.9N/AIndependentmediumOct 12, 2026arxiv.org
InternVL3.547.6N/AIndependentmediumOct 12, 2026arxiv.org
HERMES46.4N/AIndependentmediumOct 12, 2026arxiv.org
Qwen 3.545.9N/AIndependentmediumOct 12, 2026arxiv.org
StreamingVLM44.5N/AIndependentmediumOct 12, 2026arxiv.org
Ego-R141.0N/AIndependentmediumOct 12, 2026arxiv.org
EgoRAG36.5N/AIndependentmediumOct 12, 2026arxiv.org
SimpleStream28.4N/AIndependentmediumOct 12, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

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About

Built on Ego4D and EgoLife, EgoProbe uses an event-grounded engine to create long-range queries and distractors from related events. It includes EgoProbe-Base (no interference) and EgoProbe-Echo (with interference and coarse-to-fine probing).

Models are evaluated on accuracy for single-turn and multi-turn questions. Results show substantial limitations in long-range recall and specific detail retrieval amidst interfering similar events.