AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Claire Radar

FORCEBENCH

FORCEBENCH is a contrastive stress test for evidence-force calibration in cited RAG. It pairs fixed cited passages with evidence-calibrated claims and force-raised variants across five axes: relation, modality, scope, temporal validity, and numeric specificity. Evaluation is a fixed, locality-filtered set of 198 pairs.

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.

Evaluation context and evidence

Source
Claire Radar
Publisher
Not recorded
Benchmark release
2026-05-27
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.