Aayush Bajaj — accepted AI-conference papers

2025

ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild

Ahmed Masry, Megh Thakkar, Aayush Bajaj, Aaryaman Kartha, Enamul Hoque, Shafiq Joty

COLING 2025industry

Given the ubiquity of charts as a data analysis, visualization, and decision-making tool across industries and sciences, there has been a growing interest in developing pre-trained foundation models as well as general purpose instruction-tuned models for chart understanding and reasoning. However, e…

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2025

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering

Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha +8

ACL 2025finding

Charts are ubiquitous, as people often use them to analyze data, answer questions, and discover critical insights. However, performing complex analytical tasks with charts requires significant perceptual and cognitive effort. Chart Question Answering (CQA) systems automate this process by enabling m…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗