EncQA: Benchmarking Vision-Language Models on Visual Encodings for Charts.
Mukherjee K; Ren D; Moritz D; Assogba Y · 2026 · IEEE transactions on visualization and computer graphics
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Multimodal vision-language models (VLMs) continue to achieve ever-improving scores on chart understanding benchmarks. Yet, we find that this progress does not fully capture the breadth of visual reasoning capabilities essential for…
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Metadata source: Europe PMC · DOI 10.1109/tvcg.2025.3634249