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 | 12 | 2022 |
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 | 2 | 2009 |
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 | 106 | 2020 |
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 | 8 | 2020 |
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 | 147 | 2017 |
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 | 1 | 2024 |
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 | 2 | 2012 |
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 | 4 | 2023 |
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 | 5 | 2023 |
Chart question answering: State of the art and future directions E Hoque, P Kavehzadeh, A Masry Computer Graphics Forum 41 (3), 555-572, 2022 | 27 | 2022 |
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 | 78 | 2022 |
Chart-to-text: Generating natural language descriptions for charts by adapting the transformer model J Obeid, E Hoque arXiv preprint arXiv:2010.09142, 2020 | 97 | 2020 |
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 | 3 | 2024 |