AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

Model reports

SciClaimEval

1,664 claims from 180 papers in machine learning, NLP and medicine, verified against tables and figures. Refuted cases keep the authentic claim and edit the evidence instead, so a refuted item can differ from a supported one only in a small change to a table or figure. The authors report that figure-based verification remains particularly challenging for all models, so a blended score depends on the table/figure mix, and table and figure numbers are not interchangeable.

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.

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Evaluation context and evidence

Source
Model reports
Publisher
Not recorded
Benchmark release
2026-02-07
Collected
Not recorded
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.