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
MedStreamBench
MedStreamBench is a time-aware benchmark for medical video understanding, integrating 22 medical datasets and 5,419 QA instances across four temporal settings: retrospective, present, future, and proactive. Models are restricted to temporally bounded evidence windows and evaluated on answer correctness, responsiveness, and post-evidence stability.
Evidence available for this benchmark
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.
Start with these resources
Cited documents and dates (1)
Catalog collected on 2026-10-14; resources and fields reflect that saved source.
Recorded attention
Observed on: 2026-10-12
- Hugging Face paper upvotes
- 2
- Hugging Face downloads · 30 days before observation
- 216
Dated attention observations, not live counts or benchmark scores.
Evaluation context and evidence
- Source
- Claire Radar
- Publisher
- Not recorded
- Benchmark release
- 2026-07-02
- Collected
- 2026-10-14
- Modality
- Not recorded
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.
Reported results 0
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.