i am on the academic job market for positions starting in 2026.
Yash Kumar Atri

yash kumar atri

university of virginia
atri [at] virginia.edu

happenings

aug 2025 – patent on text summarization granted (announcement)
may 2025 – invited talk at lamarr institute nlproc colloquium, university of bonn
apr 2025 – our paper lifelong model editing with graph-based external memory accepted to acl findings 2025
oct 2024 – selected as daad ainet fellow 2024
june 2024 – joined uva as a postdoc

about me

hi! i am a postdoctoral researcher at the university of virginia, working with prof. tom hartvigsen. before joining uva, i completed my phd in computer science & engineering at iiit Delhi, advised by prof. vikram goyal and prof. tanmoy chakraborty. my research aims to build language systems that learn continuously, adapt responsibly, and evolve alongside human knowledge.

research interests

i am interested in enabling language models to continuously learn and adapt beyond their initial pretraining. my current research explores model editing, developing methods to update models efficiently with new information and corrections. i build modular systems that apply each change locally, allowing the model to evolve while retaining its existing knowledge. my long-term vision is to create systems that learn like humans: accumulating knowledge over time, refining their understanding, and remaining robust as language, technology, and societal values change.

research directions

model editing & continual learning current

  • lifelong model editing with graph-based external memory (acl findings 2025)
  • continually self-improving language models for bariatric surgery qa (preprint 2025)

text summarization

  • promoting topic coherence via simplicial complex & sheaf graph (emnlp main 2023)
  • fusing multimodal signals in hyper-complex space (sigkdd 2023)

data quality & evaluation

  • inline citation classification with peripheral context & time-evolving augmentation (pakdd 2023)
  • assessing the quality of the datasets by identifying mislabeled samples (asonam 2021)

publications

papers: 8
preprints: 2
patents: 1

lifelong model editing with graph-based external memory

yash kumar atri, ahmed alaa, thomas hartvigsen

paper acl (findings) 2025

continually self-improving language models for bariatric surgery question--answering

yash kumar atri, thomas h shin, thomas hartvigsen

paper preprint 2025

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 main 2023

fusing multimodal signals on hyper-complex space for extreme abstractive text summarization

yash kumar atri, tanmoy chakraborty, vikram goyal

paper sigkdd 2023

experience

Postdoctoral Researcher

2024 – present

University of Virginia, USA
Advised by Prof. Tom Hartvigsen

Research Associate

2019

LCS2, IIIT Delhi, India

Software Engineer (Data Science)

2018 – 2019

Lumiq.ai, Noida, India

awards

DAAD AInet Fellow 2024 — Postdoc-NET-AI, Germany

Travel Grants — Microsoft, iHub-Anubhuti, ACM-India (EMNLP 2023, KDD 2023)

education

Ph.D. Computer Science & Engineering

IIIT Delhi, India 2020 – 2024

Advisors: Prof. Vikram Goyal, Prof. Tanmoy Chakraborty

Thesis: Advancing Text Summarization with Conscience, Comprehension, and Multimodality

B.Tech. Computer Science & Engineering

Jaypee University, India 2014 – 2018

Advisor: Dr. Amit Kumar

Thesis: Machine Translation in Indian Languages

professional service

Area Chair — ACL Rolling Review (ARR) 2025
Reviewer — ICLR 2024, ICLR 2025, ACL 2023, EMNLP 2023, and 10+ other venues
Organizer — BDA 2023, ICON 2023, ACSS Workshops (2020–2022)

teaching & mentoring

Teaching Assistant: CSE557 (W2020, W2021), CSE506 (S2020, S2021) — IIIT Delhi
Guest Lecturer: Tutorial on AI-Driven Mental Health Counseling — ICON 2023
Mentor: Guided undergraduate research interns on summarization & fairness (2021–2023)

Get in touch