Maharshi Gor

NLP Researcher | Engineer

Iribe 2112

8125 Paint Branch Dr

College Park, MD 20742

mgor[at]cs[dot]umd[dot]edu

I am a first year Computer Science PhD student at the University of Maryland, College Park, currently working with Jordan Boyd-Graber. I am broadly interested in Natural Language Understanding and Representation. Particularly in Question Answering (QA), Semantic structure understanding, Model Robustness and Interpretability.

Prior to UMD, I spent two years working at Google Research where I collaborated with several Language Research teams, with focus on Model Interpretation and Analysis for Question Answering, and Semi-Structed Text Understanding for QA and NLI.

In the past, I have also worked on some of the Computer vision and Machine Learning problems like: Human motion sequence modeling, Generative and Representation Learning and Adversarial Machine Learning.

I am quite excited about learning and applying Visually grounded contexts for Language Understanding tasks as well.


News

Nov 22, 2022 I will be serving as a Program Committee member for SUKI: Workshop on Structured and Unstructured Knowledge Integration at NAACL 2022
Sep 22, 2021 Our work “MATE: Multi-view Attention for Table Transformer Efficiency” selected for an oral presentation at EMNLP 2021.
Aug 26, 2021 Our work “Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy” is accepted at EMNLP 2021.
Jun 1, 2021 I will be serving as a reviewer at ICLR 2022

Selected Publications

  1. EMNLP 2021
    MATE: Multi-view Attention for Table Transformer Efficiency
    In Empirical Methods in Natural Language Processing 2021
  2. EMNLP 2021
    Toward Deconfounding the Influence of Entity Demographics for Question Answering Accuracy
    Maharshi Gor, Kellie Webster, and Jordan Boyd-Graber
    In Empirical Methods in Natural Language Processing 2021
  3. ICCV 2019
    GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions
    Jogendra Nath Kundu, Maharshi Gor, Dakshit Agrawal, and R. Venkatesh Babu
    In Proceedings of the IEEE/CVF International Conference on Computer Vision 2019