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

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. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.978
Citations
4
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
9.92
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article

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

Firoz Kabir, Shafiq Joty, M. Firoz Ahmed, Shadikur Rahman et al.
4 citations
Natural Language Processing Techniques
9.92
article

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

Firoz Kabir, Shafiq Joty, M. Firoz Ahmed, Shadikur Rahman, Md Rizwan Parvez, Megh Thakkar, Mizanur Rahman, Ahmed Masry, Enamul Hoque, Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Mehrad Shahmohammadi, Aayush Bajaj, Aaryaman Kartha
article en
4 citations

Abstract

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. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

Openalex Percentile: Top 2%
Natural Language Processing Techniques
9.92
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ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering — Firoz Kabir, Shafiq Joty, et al. · (2025) | TGRS Research Map | TGRS