Parikshit Bansal
email: parikshitb52@gmail.com

Hi!, I am Parikshit, a first year Ph.D. student in the Computer Science at The University of Texas at Austin. I am (fortunate to be) advised by Prof. Sujay Sanghavi.

Prior to joining UT Austin, I was a budding researcher ("Research Fellow") at Microsoft Research India. During my time at MSR India, I was advised by Dr. Amit Sharma and we worked on various problems around using large language models (LLMs) for data annotations (and also more generally on debiasing natural language models).

Even earlier, I was an undergraduate student in Computer Science and Engineering department at IIT Bombay, learning about the fascinating field of Computer Science. I graduated with B.Tech.(Hons.) from IIT Bombay in 2021. While at IIT Bombay, I was fortunate to be advised by Prof. Sunita Sarawagi for my bachelor's thesis.

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Research
  • Large Language Models as Annotators: Enhancing Generalization of NLP Models at Minimal Cost
    Parikshit Bansal, Amit Sharma
    Preprint
    abstract  /  paper

  • Controlling Learned Effects to Reduce Spurious Correlations in Text Classifiers
    Parikshit Bansal, Amit Sharma
    ACL, 2023
    abstract  /  paper

  • Improving Out-of-Distribution Generalization of Text-Matching Recommendation Systems
    Parikshit Bansal, Yashoteja Prabhu, Emre Kiciman, Amit Sharma
    NeurIPS CML4Impact Workshop, 2022
    abstract  /  paper  /  slides

  • Missing Value Imputaton on Multidimensional Time Series
    Parikshit Bansal, Prathamesh Deshpande, Sunita Sarawagi
    VLDB, 2021
    abstract  /  paper  /  slides

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