CharXiv Reasoning

The reasoning half of CharXiv: one open-ended question per chart that requires combining several visual elements, not just reading a labelled value.

Also known as: CharXiv-R

unassessed

This page is a discovery lead. Nobody has yet assessed it against the catalogue contract, so it carries no disposition. Absence of evidence here is not evidence of staleness.
Categorymultimodal
Subcategorychart reasoning over scientific figures
Page statusactive
Metricaccuracy (GPT-4o judged)
Directionhigher_is_better
Unit%
Dataset size2323
Dataset licenceCC BY-SA 4.0 (QA annotations); charts retain the copyright of their original papers; code Apache-2.0
PublisherPrinceton Language and Intelligence (PLI), Princeton University

What it measures

CharXiv Reasoning is the reasoning-question half of the CharXiv family: for each of 2,323 real charts pulled from arXiv papers, the model must answer one open-ended question that requires synthesising information across multiple parts of the chart -- comparing series, computing a derived value, cross-referencing the legend against the plotted data -- rather than reading a single labelled point. The benchmark's own taxonomy further splits reasoning questions into four answer-type categories: text-in-chart, text-in-general, number-in-chart and number-in-general, depending on whether the answer is text or a number and whether it is read directly off the chart or requires outside synthesis.

Task format

Open-ended, free-text short-answer question about one chart image, one per chart, not multiple-choice. Models typically reason before committing to a final answer; there is no fixed answer template beyond what individual harnesses impose.

Models reporting this benchmark

These figures come from the model cards, which carry one collection date per card and no per-score attribution. They are shown as reported, not as verified evidence.
ModelProviderScoreCard as of
Muse SparkMeta86.42026-04
Claude Mythos PreviewAnthropic86.12026-04
Claude Opus 4.6Anthropic61.52026-04

Data

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