Monojit Choudhury

Prior to joining MBZUAI, Professor Choudhury was a principal researcher at Microsoft Research India from 2009 to 2022 and a principal applied scientist at Microsoft Turing (part of Microsoft India Development Center) from 2022 to 2023. He is also an adjunct faculty at International Institute of Information Technology Hyderabad (since 2017) and a professor of practice at Plaksha University (since 2021). He was a recipient of the Media Lab Asia research fellowship from 2002 to 2007. Professor Choudhury has a US patent on automatic request categorization of Internet applications.

He is also the general chair of the Panini Linguistics Olympiad (India’s national linguistics Olympiad) and founding co-chair of Asia Pacific Linguistics Olympiad. Professor Choudhury takes keen interest in popularizing linguistics and natural language processing among schoolchildren and non-experts through designing puzzles.

• Postdoctoral fellow at Microsoft Research India (2007-2008)
• Ph.D. in Computer Science and Engineering from Indian Institute of Technology (2007)
• BTech in Computer Science and Engineering from Indian Institute of Technology Kharagpur (2002)

• Associate editor of IEEE Trans. on Pattern Analysis and Machine Intelligence (since 2023) and ACM Trans. on Asian and Low-resource Language Information Processing (2017-2020)
• Action editor of ACL Rolling Review
• Program co-chair for ACM COMPASS 2023
• Best Paper awards in IJCAI 2007 workshop on Noisy Unstructured Text Data and Evolang 2012
• Young Scientist Award by Indian Science Congress Association (2003)

• Choudhury, M. (2023). Generative AI has a language problem. Nature Human Behaviour, 1-2.
• Rao, A., Khandelwal, A., Tanmay, K., Agarwal, U., & Choudhury, M. (2023). Ethical Reasoning over Moral Alignment: A Case and Framework for In-Context Ethical Policies in LLMs. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 13370-13388).
• Ahuja, K., Kumar, S., Dandapat, S., & Choudhury, M. (2022). Multitask Learning For Zero Shot Performance Prediction of Multilingual Models. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (pp. 5454–5467).
• Diddee, H., Bali, K., Choudhury, M., & Mukhija, N. (2022, June). The six conundrums of building and deploying language technologies for social good. In ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) (pp. 12-19).
• Choudhury, M., & Deshpande, A. (2021). How Linguistically Fair Are Multilingual Pre-Trained Language Models?. In Proceedings of the AAAI conference on Artificial Intelligence (Vol. 35, No. 14, pp. 12710-12718).
• Joshi, P., Santy, S., Budhiraja, A., Bali, K., & Choudhury, M. (2020). The State and Fate of Linguistic Diversity and Inclusion in the NLP World. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 6282-6293).