About me

I’m a PhD student at University of British Columbia and my supervisor is Vered Shwartz.

My research interest is about incorporating implicit contexts into large language models.

Before starting a PhD, I primarily worked with members at Information Extraction and Synthesis Laboratory (IESL) and IBM Research while receiving a MS in Computer Science at the University of Massachusetts-Amherst. I also spent some time in industry, I worked for Naver in Knowledge Base team for about a year before starting PhD program, and I worked for IBM as an application developer for a year before starting Master’s program.

CV

News

Publications

Enhancing Incremental Summarization with Structured Representations
EunJeong Hwang, Yichao Zhou, James Bradley Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata
Short paper @ Findings of EMNLP 2024

From Local Concepts to Universals: Evaluating the Multicultural Understanding of Vision-Language Models
Mehar Bhatia, Sahithya Ravi, Aditya Chinchure, Eunjeong Hwang, Vered Shwartz
Long paper @ EMNLP 2024

A Graph per Persona: Reasoning about Subjective Natural Language Descriptions
Eunjeong Hwang, Vered Shwartz, Dan Gutfreund, Veronika Thost
Long paper @ Findings of ACL 2024

Knowledge Graph Compression Enhances Diverse Commonsense Generation
Eunjeong Hwang, Veronika Thost, Vered Shwartz, Tengfei Ma
Long paper @ EMNLP 2023

Aligning Language Models to User Opinions
Eunjeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon
Long paper @ Findings of EMNLP 2023

MemeCap: A Dataset for Captioning and Interpreting Memes
Eunjeong Hwang, Vered Shwartz
Long paper @ EMNLP 2023

An Analysis of Virtual Nodes in Graph Neural Networks for Link Prediction
Eunjeong Hwang, Veronika Thost, Shib Sankar Dasgupta, Tengfei Ma
The First Learning on Graphs, 2022 (Spotlight) youtube, code

Event-Event Relation Extraction using Probabilistic Box Embedding
Eunjeong Hwang, Jay-Yoon Lee, Tianyi Yang, Dhruvesh Patel, Dongxu Zhang, Andrew McCallum
ACL-short, 2022 code

Research Experiences

University of British Columbia, 2022.09 - Present
Research Assistant (supervised by Dr. Vered Shwartz)

Google Deepmind, 2024.01 - 2024.06
Research Intern (Host: Yichao Zhou, Beliz Gunel)

MIT-IBM Research, 2023.07 - 2023.12
Research Intern (Host: Veronika Thost, Dan Gutfreund)

Information Extraction and Synthesis Laboratory (IESL), UMass Amherst, 2020.05 - 2020.08
Research Intern

Work Experiences

Naver, S. Korea, 2021.03 - 2022.06
Software Engineer at Knowledge Base team

IBM, S. Korea, 2018.01 - 2019.04
Application Developer

IBM, S. Korea, 2017.09 - 2017.12
Application Developer Intern

The Development Factory, Australia, 2017.01 - 2017.02
Software Engineer Intern

Teaching Experience

University of Massachussets-Amherst, 2021.02 - 2021.05
Grader at CS685 Graduate Natural Language Processing course (Prof. Brendan O’Connor)

Talks

  • Invited talk at Seoul National University’s reading group (Host: Prof. Jayyoon lee), Sep 9, 2024, slides
  • Career Panel Discussion at UMass-Amherst (Host: Prof. Andrew McCallum at 696DS, Apr 26, 2024
  • Invited talk at UT Asutin (Host: Prof. Jessy Li at LIN 393), Feb 8, 2024

Services

Awards

President’s Academic Excellence Initiative PhD Award, UBC, 2022.09
International Tuition Award, UBC, 2022.09
Faculty of Science PhD Tuition Award, UBC, 2022.09