Megh Thakkar

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Mila - Quebec AI Institute

6666 Rue Saint-Urbain

Montréal, QC H2S 3H1, Canada

Hi, welcome to my page! I am Megh. I am a research master’s student at Université de Montréal and a research assistant at MILA - Quebec AI Institute, supervised by Prof. Sarath Chandar. I am broadly interested in Natural Language Processing, particularly in dialogue systems, question-answering systems, and conversational AI. Prior to joining MILA, I was a pre-doctoral researcher in the NLU team of Partha at Google Research India. I graduated in computer science with distinction from Birla Institute of Technology and Science (BITS), Pilani.

Alongside AI, I am an avid traveler. I have been to 25 countries and counting. I also love playing badminton and am a novice drummer :)

news

Oct 7, 2023 My work with Google Research has been accepted to EMNLP 2023! Paper will be out on arXiv soon.
Sep 1, 2023 Started Masters with Research in Computer Science at MILA under the supervision of Prof. Sarath Chandar!
Jul 11, 2022 Started my pre-doctoral researcher tenure at Google Research India with Partha Talukdar.

selected publications

2023

  1. Megh Thakkar, Sriram Ganapathy, Shikhar Vashishth, and 3 more authors
    In Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing, Dec 2023
  2. Linlin Liu*, Xingxuan Li*, Megh Thakkar, and 4 more authors
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023

2022

  1. Ramit Sawhney*, Megh Thakkar*, Shrey Pandit*, and 4 more authors
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), May 2022
  2. Shankar Kantharaj*, Rixie Tiffany Leong*, Xiang Lin*, and 4 more authors
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022

2021

  1. Ramit Sawhney*, Megh Thakkar*, Shivam Agarwal, and 3 more authors
    In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Nov 2021