Six Navers Lab / Einsia benchmarks and the work they test
Compare the tasks, scoring and evidence behind six Einsia benchmarks, with complete Radar detail pages and original references.
Claire Radar
MMBench-Live is a continuously evolving multimodal benchmark built by a multi-agent pipeline from MMBench. It contains 5.9K newly generated evaluation instances with executable reasoning, and evaluates vision-language models across question-answer generation and reasoning tasks. Updates cost about USD 30 and take 1-2 hours, with distribution-consistent strategy to maintain comparability.
Numeric results have not been collected for this source record. Use the paper, code or dataset below to check the task and experiments; this does not imply that the original work contains no results.
Catalog collected on 2026-10-14; resources and fields reflect that saved source.
Observed on: 2026-10-12
pris-cv/mmbench-live · View source snapshot
Dated attention observations, not live counts or benchmark scores.
These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.
This source record has no numeric results in our collection. That does not mean a score of zero or that no public results exist. Consult the original resources above.