Papers by Seyed Mohammad Hadi Hosseini
MEENA (PersianMMMU): Multimodal-Multilingual Educational Exams for N-level Assessment (2026.findings-eacl)
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Omid Ghahroodi, Arshia Hemmat, Marzia Nouri, Seyed Mohammad Hadi Hosseini, Doratossadat Dastgheib, Mohammad Vali Sanian, Alireza Sahebi, Reihaneh Zohrabi, Mohammad Hossein Rohban, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah
| Challenge: | Recent advances in large vision-language models have primarily focused on English, with limited attention given to other languages. |
| Approach: | They propose a dataset to evaluate Persian VLMs across scientific, reasoning, and human-level understanding tasks. |
| Outcome: | The proposed model performs well across scientific reasoning, reasoning, and human-level understanding tasks in Persian and English. |
CER: Confidence Enhanced Reasoning in LLMs (2025.acl-long)
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| Challenge: | Existing approaches to enhance the reliability of Large Language Models (LLMs) in complex reasoning tasks are limited by their limitations. |
| Approach: | They propose an uncertainty-aware framework to enhance the reliability of Large Language Models . they quantify the confidence of intermediate answers and evaluate the reliability based on these confidences a way that reflects the reliability. |
| Outcome: | The proposed approach improves accuracy of large language models in math and open-domain tasks by 7.4% and 5.8% over baseline approaches. |