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cs.CL2026
Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding
Jianzhu Bao, Haozhen Zhang, Kuicai Dong +5
Vision-Language Models (VLMs) have demonstrated remarkable progress in chart understanding, largely driven by supervised fine-tuning (SFT) on increasingly large synthetic datasets.…
cs.CV2026
An Online Reference-Free Evaluation Framework for Flowchart Image-to-Code Generation
Giang Son Nguyen, Zi Pong Lim, Sarthak Ketanbhai Modi +2
Vision-Language Models (VLMs) are increasingly used in document processing pipelines to convert flowchart images into structured code (e.g., Mermaid). In production, these systems…