Yash Kumar Atri

      University of Virginia, US

About Me

Hi! I am a postdoc at the University of Virginia, working with Tom Hartvigsen. Before joining UVA, I completed my PhD in Computer Science and Engineering at IIIT Delhi, India, where I was advised by Prof. Vikram Goyal and Dr. Tanmoy Chakraborty. My research focuses on understanding and enhancing neural language generation models, particularly large language models (LLMs), and their applications in natural language processing tasks such as abstractive text summarization.


  • Feb 2024 - Presented our work at the ACM ARCS symposium held at NISER Bhubaneswar.
  • Dec 2023 - Gave a tutorial on AI for Mental Health at the ICON 2023 conference held in Goa.
  • Nov 2023 - Received Microsoft Travel Grant to present our EMNLP paper at Singapore.
  • Aug 2023 - Received Microsoft Travel Grant to present our SIGKDD paper at Long Beach, California, USA.
  • Apr 2023 - Webchair for the International Conf. on Big Data and Artificial Intelligence.


  • Promoting Topic Coherence and Inter-Document Consorts in Multi-Document Summarization via Simplicial Complex and Sheaf Graph

    Yash Kumar Atri, Arun Iyer, Tanmoy Chakraborty, Vikram Goyal


    EMNLP 2023

  • Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization

    Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal


    Arxiv 2023

  • Multi-Document Summarization using Selective Attention Span and Reinforcement Learning

    Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal


    TASL 2023

  • Fusing Multimodal Signals on Hyper-complex Space for Extreme Abstractive Text Summarization (TL;DR) of Scientific Contents

    Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal


    SIGKDD 2023

  • Inline Citation Classification using Peripheral Context and Time-evolving Augmentation

    Priyanshi Gupta, Yash Kumar Atri, Apurva Nagvenkar, Sourish Dasgupta, Tanmoy Chakraborty


    PAKDD 2023

  • See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization

    Yash Kumar Atri*, Shraman Pramanick*, Vikram Goyal, Tanmoy Chakraborty


    KBS 2021

  • Assessing the Quality of the Datasets by Identifying Mislabeled Samples

    Vaibhav Pulastya, Gaurav Nuti, Yash Kumar Atri, Tanmoy Chakraborty


    ASONAM 2021

  • Corpora Evaluation and System Bias detection in Multi Document Summarization

    Alvin Dey*, Tanya Chowdhury*, Yash Kumar Atri*, Tanmoy Chakraborty


    EMNLP (Findings) 2020

Program Committees

  • Reviewer - EMNLP23, ACL23, BDA23, ICON22, EMNLP22, ASONAM22
  • Organizer & Coordinator - BDA 2023 conf, ICON 2023 conf, ACSS 2022, 2021, 2020, Cofad 2020 Workshops


  • Ph.D. CSE, IIIT Delhi, India, 2020-2024
  • B. Tech. CSE, Jaypee University, India 2014-2018

Professional Experience

  • Research Associate at LCS2-IIITD, Sep. 2019-Aug. 2019
  • Software Engineer (Data Science) at Lumiq.ai, July 2018-Aug. 2019
  • AI Engineer (Intern) at Lumiq.ai, Feb. 2018-Jun. 2019
  • Data Scientist (Intern) at Primelite Technologies, May 2017-July 2017
  • Android Developer (Intern) at Trignosoft Technologies, May 2017-June 2017


Email: yashkumaratri@gmail.com
Work Email: yashk@iiitd.ac.in
Phone: +91 ****38**66 (Please drop an email)

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