Research output per year
Research output per year
Personal profile
Biography
Md Rizwan Parvez is a Scientist at Qatar Computing Research Institute (QCRI), with research interests in language-code integration, information retrieval, and developing language agents for reasoning, problem solving and complex parctical tasks. His work has been featured in top-tier NLP venues such as ACL, EMNLP, and NAACL, and he is the author of several influential papers, including RedCoder, xCodeEval, and MapCoder. Rizwan completed his Ph.D. in Computer Science at UCLA under the guidance of Prof. Kai-Wei Chang in June 2022, where he was awarded multiple graduate fellowships. He has previously held roles as a Research Scientist at Bosch Research in Sunnyvale and has completed research internships at leading organizations, including Microsoft Research, Salesforce Research, Facebook AI Research (FAIR), and Google Research. He will be serving as a Senior Area Chair at EMNLP 2025.
Education/Academic qualification
NLP, PhD, Learning Through Auxiliary Supervision for Multi-Modal Low-Resource Natural Language Processing, University of California at Los Angeles
Award Date: 10 Jun 2022
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Collaborations and top research areas from the last five years
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Chain of Evidences and Evidence to Generate: Prompting for Context Grounded and Retrieval Augmented Reasoning
Parvez, M. R., May 2025, Proceedings of the 4th International Workshop on Knowledge-Augmented Methods for Natural Language Processing. Association for Computational Linguistics, p. 230-245 16 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
MapQaTor: An Extensible Framework for Efficient Annotation of Map-Based QA Datasets
Dihan, M. L., Ali, M. E. & Parvez, M. R., 2025, System Demonstrations. Mishra, P., Muresan, S. & Yu, T. (eds.). Association for Computational Linguistics (ACL), p. 1-10 10 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
TechniqueRAG: Retrieval Augmented Generation for Adversarial Technique Annotation in Cyber Threat Intelligence Text
Lekssays, A., Shukla, U., Sencar, H. T. & Parvez, M. R., Jul 2025, p. 20913-20926. 14 p.Research output: Contribution to conference › Paper › peer-review
Open Access -
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Laskar, M. T. R., Alqahtani, S., Bari, M. S., Rahman, M., Khan, M. A. M., Khan, H., Jahan, I., Bhuiyan, M. A. H., Tan, C. W., Parvez, M. R., Hoque, E., Joty, S. & Huang, J. X., 4 Jul 2024, EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Association for Computational Linguistics (ACL), p. 13785-13816 32 p. (EMNLP 2024 - 2024 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access17 Citations (Scopus) -
ChartInstruct: Instruction Tuning for Chart Comprehension and Reasoning
Masry, A., Shahmohammadi, M., Parvez, M. R., Hoque, E. & Joty, S., 16 Aug 2024, The 62nd Annual Meeting of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics, ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). Association for Computational Linguistics (ACL), p. 10387-10409 23 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
7 Citations (Scopus)