Papers by Mehrad Shahmohammadi
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning (2024.findings-acl)
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| Challenge: | Charts provide visual representations of data and are used for analyzing information, addressing queries, and conveying insights to others. |
| Approach: | They propose a chart-specific vision-language Instruction-following dataset with 191K instructions and a pipeline model that extracts chart data tables and inputs them into a LLM. |
| Outcome: | The proposed model can solve a wide range of chart-related tasks, achieving state-of-the-art results on four tasks. |
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering (2025.findings-acl)
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Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty
| Challenge: | Chart Question Answering systems are limited in their ability to interpret data visually and reason with visual representations. |
| Approach: | They propose a chart-based chart question-answering system that includes 1,341 charts from 99 diverse sources and 1,948 questions in various types. |
| Outcome: | The new benchmark includes 1,341 charts from 99 diverse sources and 1,948 questions in various types. |