Jonghyun (Jong) Song

Jonghyun (Jong) Song

he/him

Research Interests: Information Retrieval and Multi-modal Lanugage Models

Jonghyun (Jong) Song

Hello! I’m Jonghyun (Jong) Song, a Ph.D. student at Seoul National University under the supervision of Dr. Yohan Jo.

My primary research interests include

  • Language representations for information retrieval (dense and sparse)
  • The inner workings of language models
  • Other applications of information retrieval (RAG, TALM)
  • Personalized language models

For more details, please refer to my CV.

:newspaper: News

  • Jan. ‘25 I have started my internship with the Hyper-Personalized Search Team at NAVER, the leading search engine in Korea!
  • Nov. ‘24 Our paper Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval is accepted to EMNLP 2024 Main!
  • Aug. ‘24 I presented a spotlight paper talk at the ACL Workshop on Representation Learning for NLP (Repl4NLP) at ACL ‘24!

:bookmark_tabs: Papers and Presentations

  • Jonghyun Song, Cheyon Jin, Wenlong Zhao, Andrew McCallum, Jay-Yoon Lee, Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval, In EMNLP 2024 (Main)/Spotlight Talk at Repl4NLP workshop in ACL 2024
  • Jonghyun Song, Eunyi Lyou, Redefining Information Extraction from Visually Rich Documents as Token Classification, In IJCAI 2024 Competition of Visually Rich Form Document Intelligence and Understanding (VRDIU)

🏆Honors and Awards

  • Jul. ‘24 2nd Place, VRDIU Competition (Track A) on IJCAI 2024 sponsored by Google Research
  • Nov. ‘23 1st Place (Minister’s Award) on K-Datascience Hackathon by Ministry of Science and ICT, Korea
  • Mar. ‘22 Park Min-Chul Data Science Challenge Scholarship
  • Mar. ‘21 Sanhak (Industrial-Educational Cooperation) Foundation Scholarship

:pencil2: Teaching

  • Fall ‘23 Head TA, Natural Language Processing with Neural Networks, Seoul National University
  • Fall ‘23 Instructor, Big Data Fintech Specialist Training Course, Ministry of Employment and Labor
  • Spring ‘23 Head TA, Math and Statistics Foundations for Data Science, Seoul National University
  • Fall ‘22 Head TA, Applications of Natural Language Processing, Seoul National University
  • Fall ‘22 TA, Data Science Boot Camp, Seoul National University
  • Winter ‘20 Math Tutor, Self-Paced Learning & Tutoring Program, Seoul National University
  • Fall ‘19 Undergraduate TA, Creative Engineering Design, Seoul National University