Maharshi Gor
NLP Researcher | Engineer

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-Structured 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
Jun 24, 2022 | Our work “Toward Efficient Robust Training against Union of Lp Threat Models” is accepted as oral presentation at ADVML FRONTIERS @ ICML 2022. |
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May 23, 2022 | I am spending my summer at X, the moonshot factory (formerly Google X) as PhD Research Resident, and will be working on Program Synthesis. |
Apr 15, 2022 | I am reviewing at NeurIPS 2022 |
Nov 22, 2021 | I will be serving as a Program Committee member for SUKI: Workshop on Structured and Unstructured Knowledge Integration and DADC: Workshop on Dynamic Adversarial Data Collection at NAACL 2022 |
Sep 22, 2021 | Our work “MATE: Multi-view Attention for Table Transformer Efficiency” selected for an oral presentation at EMNLP 2021. |