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
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CHARTQAPRO: A More Diverse and Challenging Benchmark for Chart Question Answering
Masry, A., Islam, M. S., Ahmed, M., Bajaj, A., Kabir, F., Kartha, A., Laskar, M. T. R., Rahman, M., Rahman, S., Shahmohammadi, M., Thakkar, M., Parvez, M. R., Hoque, E. & Joty, S., 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Association for Computational Linguistics (ACL), p. 19123-19151 29 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging
Ashraful Islam, M., Ali, M. E. & Parvez, M. R., 2025, 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025. Chiruzzo, L., Ritter, A. & Wang, L. (eds.). Association for Computational Linguistics (ACL), p. 5128-5154 27 p. (2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Proceedings of the Conference Findings, NAACL 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
MapEval: A Map-Based Evaluation of Geo-Spatial Reasoning in Foundation Models
Dihan, M. L., Hassan, M. T., Parvez, M. T., Hasan, M. H., Alam, M. A., Cheema, M. A., Ali, M. E. & Parvez, M. R., 2025, In: Proceedings of Machine Learning Research. 267, p. 13774-13813 40 p.Research output: Contribution to journal › Conference article › peer-review
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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