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Yujing Lu

1 accepted papers

2026

DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts

AAAI 2026technical

Chart Question Answering (CQA) evaluates Multimodal Large Language Models (MLLMs) on visual understanding and reasoning over chart data. However, existing benchmarks mostly test surface-level parsing, such as reading labels and legends, while overlooking deeper scientific reasoning. We propose Domai

Cited by 0SourcePDFScholar