Papers by Gagan Raj Gupta

1 papers
TechING: Towards Real World Technical Image Understanding via VLMs (2026.findings-eacl)

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Challenge: Modern day vision language models struggle when it comes to understanding technical diagrams . a large synthetically generated corpus is needed to train and evaluate VLMs on hand-drawn images .
Approach: They propose a large synthetically generated corpus for training VLMs and evaluate them on hand-drawn images.
Outcome: The proposed model improves ROUGE-L performance of Llama 3.2 11B-instruct by 2.14x on synthetic images on real-world images.

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