Siwen Lu

ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning

Multimodal Large Language Models (MLLMs) have emerged as powerful tools for chart comprehension. However, they heavily rely on extracted content via OCR, which leads to numerical hallucinations when chart textual annotations are sparse. While existing methods focus on scaling instructions, they fail…