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Enamul Hoque Prince
Enamul Hoque Prince
Associate Professor, York University
在 yorku.ca 的电子邮件经过验证 - 首页
标题
引用次数
年份
A Concept-Based Interactive Visualization Approach to Web Image Search
E Hoque, O Hoeber, M Gong
IEEE Information Visualization Conference (Poster), 23-28, 2011
2011
A deep attentive multimodal learning approach for disaster identification from social media posts
E Hossain, MM Hoque, E Hoque, MS Islam
IEEE Access 10, 46538-46551, 2022
122022
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
M Tahmid Rahman Laskar, S Alqahtani, M Saiful Bari, M Rahman, ...
arXiv e-prints, arXiv: 2407.04069, 2024
2024
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
MTR Laskar, S Alqahtani, MS Bari, M Rahman, MAM Khan, H Khan, ...
arXiv preprint arXiv:2407.04069, 2024
2024
An audible Bangla text-entry method in mobile phones with intelligent keypad
MEH Prince, G Hossain, AA Dewan, P Debnath
2009 12th International Conference on Computers and Information Technology …, 2009
22009
An Interactive System for Exploring Community Question Answering Forums
A Moschitti, P Nakov, S Romeo, G Carenini
6*2016
Answering questions about charts and generating visual explanations
DH Kim, E Hoque, M Agrawala
Proceedings of the 2020 CHI conference on human factors in computing systems …, 2020
1062020
Applying natural language pragmatics in a data visualization user interface
VR Setlur, SE Battersby, MK Tory, RC Gossweiler III, AX Chang, ...
US Patent 11,934,461, 2024
2024
Applying natural language pragmatics in a data visualization user interface
VR Setlur, SE Battersby, MK Tory, RC Gossweiler III, AX Chang, ...
US Patent 10,795,902, 2020
82020
Applying pragmatics principles for interaction with visual analytics
E Hoque, V Setlur, M Tory, I Dykeman
IEEE transactions on visualization and computer graphics 24 (1), 309-318, 2017
1472017
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs
MS Islam, R Rahman, A Masry, MTR Laskar, MT Nayeem, E Hoque
arXiv preprint arXiv:2406.00257, 2024
12024
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs
M Saidul Islam, R Rahman, A Masry, M Tahmid Rahman Laskar, ...
arXiv e-prints, arXiv: 2406.00257, 2024
2024
Being SMART About Failures: Assessing Repairs in Activity Detection
K Kapitanova, E Hoque, JA Stankovic, SH Son, K Whitehouse, ...
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, Pittsburgh …, 2012
22012
Benllmeval: A comprehensive evaluation into the potentials and pitfalls of large language models on bengali nlp
M Kabir, MS Islam, MTR Laskar, MT Nayeem, MS Bari, E Hoque
arXiv preprint arXiv:2309.13173, 2023
42023
Can large language models fix data annotation errors? an empirical study using debatepedia for query-focused text summarization
MTR Laskar, M Rahman, I Jahan, E Hoque, J Huang
Findings of the Association for Computational Linguistics: EMNLP 2023, 10245 …, 2023
52023
Chart question answering: State of the art and future directions
E Hoque, P Kavehzadeh, A Masry
Computer Graphics Forum 41 (3), 555-572, 2022
272022
Chart-to-text: A large-scale benchmark for chart summarization
S Kantharaj, RTK Leong, X Lin, A Masry, M Thakkar, E Hoque, S Joty
arXiv preprint arXiv:2203.06486, 2022
782022
Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model
J Obeid, E Hoque
arXiv preprint arXiv:2010.09142, 2020
972020
ChartGemma: Visual Instruction-tuning for Chart Reasoning in the Wild
A Masry, M Thakkar, A Bajaj, A Kartha, E Hoque, S Joty
arXiv preprint arXiv:2407.04172, 2024
2024
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
A Masry, M Shahmohammadi, MR Parvez, E Hoque, S Joty
arXiv preprint arXiv:2403.09028, 2024
32024
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