Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Amran Bhuiyan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track). 2025.
Authors
- Jimmy Xiangji Huang (ORCID: https://orcid.org/0000-0003-1292-1491)
- Shafiq Joty (ORCID: https://orcid.org/0000-0002-9222-2641)
- Ridwan Mahbub
- Ahmed Masry
- Enamul Hoque (ORCID: https://orcid.org/0000-0002-9789-6645)
- Mir Tafseer Nayeem (ORCID: https://orcid.org/0000-0002-4715-6059)
- Md Tahmid Rahman Laskar (ORCID: https://orcid.org/0009-0001-7880-299X)
- Mohammed Saidul Islam
- Mizanur Rahman (ORCID: https://orcid.org/0000-0002-4533-4667)
- Amran Bhuiyan
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.acl-industry.83
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Compute Canada
- Natural Sciences and Engineering Research Council of Canada