Yash Kumar Atri

University of Virginia

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About Me

Hi! I am a postdoc at the University of Virginia, working with Prof. 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 Prof. 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.

News

June 2024 - Joined UVA as a postdoc.
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.

Publications

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
Paper

EMNLP 2023
Exploiting Representation Bias for Data Distillation in Abstractive Text Summarization

Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal
Paper

Arxiv 2023
Multi-Document Summarization using Selective Attention Span and Reinforcement Learning

Yash Kumar Atri, Tanmoy Chakraborty, Vikram Goyal
Paper

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
Paper

SIGKDD 2023
Inline Citation Classification using Peripheral Context and Time-evolving Augmentation

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

PAKDD 2023
See, Hear, Read: Leveraging Multimodality with Guided Attention for Abstractive Text Summarization

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

KBS 2021
Assessing the Quality of the Datasets by Identifying Mislabeled Samples

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

ASONAM 2021
Corpora Evaluation and System Bias detection in Multi Document Summarization

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

EMNLP (Findings) 2020

Program Committees

Reviewer - ARR24, EMNLP23, ACL23, BDA23, ICON22, EMNLP22, ASONAM22
Organizer & Coordinator - BDA 2023 conf, ICON 2023 conf, ACSS 2022, 2021, 2020, Cofad 2020 Workshops

Education

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

Contact

Email: yashkumaratri@gmail.com
Work Email: atri@virginia.edu
Phone: +1 (434)-**6-1**1 (Please drop an email)