Junmo Kang

Ph.D. Student, Georgia Tech

School of Interactive Computing

Coda 1147M

junmo.kang [AT] gatech.edu

About

Hello! I am currently a second-year Ph.D. student in the School of Interactive Computing at Georgia Tech advised by Alan Ritter and Wei Xu. Previously, I completed my M.S. in Computer Science at KAIST, where I started my NLP journey. I had a wonderful time interning at MIT-IBM Watson AI Lab.

My research focuses on developing NLP models that are efficient and robust, with the goal of ensuring their practicality in real-world scenarios.

In particular, below are some keywords of my recent interests:

News

Research Experience

MIT-IBM Watson AI Lab Cambridge, MA, USA

Research Intern May. 2023 - Aug. 2023

Host: Leonid Karlinsky, Rogerio Feris

Georgia Institute of Technology Atlanta, GA, USA

Graduate Research Assistant (Ph.D.) Aug. 2022 - Present

Advisor: Alan Ritter, Wei Xu

KAIST IR&NLP Lab Daejeon, Republic of Korea

Research Associate Mar. 2021 - July. 2022

Host: Sung-Hyon Myaeng

KAIST Daejeon, Republic of Korea

Graduate Research Assistant (M.S.) Feb. 2019 - Feb. 2021

Adviosr: Sung-Hyon Myaeng

Publications

* indicates equal contribution.

Self-Specialization: Uncovering Latent Expertise within Large Language Models

Junmo Kang, Hongyin Luo, Yada Zhu, James Glass, David Cox, Alan Ritter, Rogerio Feris, Leonid Karlinsky

Preprint

Schema-Driven Information Extraction from Heterogeneous Tables

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Alan Ritter

Preprint

Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise

Giwon Hong*, Jeonghwan Kim*, Junmo Kang*, Sung-Hyon Myaeng, Joyce Jiyoung Whang

NAACL 2024 Findings

Distill or Annotate? Cost-Efficient Fine-Tuning of Compact Models

Junmo Kang, Wei Xu, Alan Ritter

ACL 2023

Graph-Induced Transformers for Efficient Multi-Hop Question Answering

Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng

EMNLP 2022

Exploiting Numerical-Contextual Knowledge to Improve Numerical Reasoning in Question Answering

Jeonghwan Kim, Junmo Kang, Giwon Hong, Kyung-min Kim, Sung-Hyon Myaeng

NAACL 2022 Findings

Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval

Kyoung-Rok Jang, Junmo Kang, Giwon Hong, Sung-Hyon Myaeng, Joohee Park, Taewon Yoon, Heecheol Seo

EMNLP 2021

Leveraging Order-Free Tag Relations for Context-Aware Recommendation

Junmo Kang, Jeonghwan Kim, Suwon Shin, Sung-Hyon Myaeng

EMNLP 2021

Have You Seen That Number? Investigating Extrapolation in Question Answering Models

Jeonghwan Kim, Giwon Hong, Kyung-min Kim, Junmo Kang, Sung-Hyon Myaeng

EMNLP 2021

Can You Distinguish Truthful from Fake Reviews? User Analysis and Assistance Tool for Fake Review Detection

Jeonghwan Kim*, Junmo Kang*, Suwon Shin*, Sung-Hyon Myaeng

HCI+NLP@EACL 2021

Regularization of Distinct Strategies for Unsupervised Question Generation

Junmo Kang*, Giwon Hong*, Haritz Puerto San Roman*, Sung-Hyon Myaeng

EMNLP 2020 Findings

Handling Anomalies of Synthetic Questions in Unsupervised Question Answering

Giwon Hong*, Junmo Kang*, Doyeon Lim*, Sung-Hyon Myaeng

COLING 2020

Let Me Know What to Ask: Interrogative-Word-Aware Question Generation

Junmo Kang*, Haritz Puerto San Roman*, Sung-Hyon Myaeng

MRQA@EMNLP 2019

Vitæ

Full CV in PDF.

  • MIT-IBM Watson AI Lab May. 2023 - Aug. 2023
    Research Intern
    Self-Alignment of LLMs for Specialization
  • Georgia Tech Aug. 2022 - Present
    Ph.D. in Computer Science
  • KAIST IR&NLP Lab Mar. 2021 - July. 2022
    Research Associate
    QA & IR
  • KAIST Feb. 2019 - Feb. 2021
    M.S. in Computer Science
    IR&NLP Lab
  • Republic of Korea Army Apr. 2013 - Jan. 2015
    Honorably discharged as Sergeant
    Compulsory military service
  • Chungnam National University Mar. 2012 - Feb. 2019
    B.E. in Computer Science & Engineering
    Summa Cum Laude