Ph.D. Student, Georgia Tech
School of Interactive Computing
Coda 1147M
junmo.kang [AT] gatech.edu
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:
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
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
Full CV in PDF.