Papers by Gaurav Harit

2 papers
TabComp: A Dataset for Visual Table Reading Comprehension (2025.findings-naacl)

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Challenge: Existing OCR-free models struggle with complex table layouts and formatting.
Approach: They propose a dataset to evaluate OCR-free models in table reading comprehension using table images, questions, and generative answers.
Outcome: The proposed model outperforms existing models in the visual table reading comprehension dataset and encourages the research community to work on improving them.
INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents (2026.findings-acl)

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Challenge: INDOTABVQA provides a benchmark for evaluating cross-lingual Table Visual Question Answering (VQA) on real-world document images in Bahasa Indonesia.
Approach: They propose a benchmark for evaluating cross-lingual Table Visual Question Answering on real-world document images in Bahasa Indonesia.
Outcome: The proposed model improves on a 3B model and a LoRA- finetuned 7B model on Bahasa Indonesian document images by 11.6% and 17.8% respectively.

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