Papers by Azher Ahmed Efat

2 papers
Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts (2026.findings-acl)

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Challenge: Existing research on chart understanding has been limited to single chart images.
Approach: They propose a dataset specifically designed for question answering over multi-chart images.
Outcome: The proposed method shows a 27.4% LLM-based accuracy drop on human-authored questions and a 5.39% gain in the human-generated questions.
Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation (2026.findings-acl)

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Challenge: Existing studies have not examined the y-axis-related biases in chart-to-table translation models.
Approach: They propose a framework for analyzing y-axis-related bias on five state-of-the-art models.
Outcome: The proposed framework analyzes y-axis-related biases on five state-of-the-art models.

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