ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats 事件

ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats arXiv:2606.01348v1 Announce Type: new Abstract: Charts are a primary medium for conveying quantitative and relational information, yet systematically evaluating chart parsing models remains difficult. Existing benchmarks focus on narrow chart types and leave diagrammatic structures such as flowcharts and mind maps largely unaddressed, while models produce outputs in incompatible formats, and datasets rarely include