Minjoon Seo (서민준)

Assistant Professor
Kim Jaechul Graduate School of AI
KAIST
Seoul Campus Building 9 Suite 202

minjoon@kaist.ac.kr
seominjoon@gmail.com (permanent)
[CV] [Google Scholar] [GitHub] [Twitter] [LinkedIn]

Minjoon Seo, 2022

I am an Assistant Professor at KAIST AI, where I am the Director of Language & Knowledge Lab. I am interested in how the world knowledge can be encoded (e.g. external memory and language model), accessed (e.g. question answering and dialog), and produced (e.g. reasoning).

I obtained PhD in Computer Science at the University of Washington where I was fortunate to be advised by Hannaneh Hajishirzi and Ali Farhadi and supported by Facebook Fellowship and AI2 Key Scientific Challenges Award. Before that, I obtained BS in Electrical Engineering & Computer Science at the University of California, Berkeley.

[Prospective students: please read before you email me!]


Selected Papers

Please see my Semantic Scholar or Google Scholar profiles for the full list.

2022

  • Generative Multi-hop Retrieval
    Hyunji Lee, Sohee Yang, Hanseok Oh, Minjoon Seo
    EMNLP 2022
    [paper]

  • TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
    Joel Jang, Seonghyeon Ye, Changho Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo
    EMNLP 2022
    [paper]

  • EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records
    Gyubok Lee, Hyeonji Hwang, Seongsu Bae, Yeonsu Kwon, Woncheol Shin, Seongjun Yang, Minjoon Seo, Jong-Yeup Kim, Edward Choi
    NeurIPS 2022 Datasets and Benchmarks
    [paper]

  • A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction
    Wonseok Hwang, Dongjun Lee, Kyoungyeon Cho, Hanuhl Lee, Minjoon Seo
    NeurIPS 2022 Datasets and Benchmarks
    [paper]

  • Is Retriever Merely an Approximator of Reader?
    Sohee Yang, Minjoon Seo
    ACL 2022 Workshop on Semiparametric Methods in NLP (Spa-NLP)
    [paper]

  • Towards Continual Knowledge Learning of Language Models
    Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo
    ICLR 2022
    [paper]

2021

  • ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation
    Aiden Lee, Hanseok Oh, Minjoon Seo
    ICCV 2021 Workshop on Closing the Loop between Vision and Language (CLVL)
    1st place at ICCV 2021 VALUE Challenge Retrieval Track
    [paper]

  • Cost-effective End-to-end Information Extraction for Semi-structured Document Images
    Wonseok Hwang, Hyunji Lee, Jinyeong Yim, Geewook Kim, Minjoon Seo
    EMNLP 2021 (short)
    [paper]

  • Spatial Dependency Parsing for Semi-Structured Document Information Extraction
    Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Sohee Yang, Minjoon Seo
    ACL 2021 Findings
    [paper]

  • Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering
    Sohee Yang, Minjoon Seo
    NAACL 2021 (short)
    1st place at NeurIPS 2020 EfficientQA Challenge 500MB Track Human Eval
    [paper] [code]

2020

  • Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing
    Wonseok Hwang, Jinyeong Yim, Seunghyun Park, Minjoon Seo
    AKBC 2020
    [paper]

  • Contextualized Sparse Representations for Real-Time Open-Domain Question Answering
    Jinhyuk Lee, Minjoon Seo, Hannaneh Hajishirzi, Jaewoo Kang
    ACL 2020 (short)
    [paper] [code]

2019

  • A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization
    Wonseok Hwang, Jinyeung Yim, Seunghyun Park, Minjoon Seo
    NeurIPS 2019 KR2ML Workshop
    [paper] [code]

  • Mixture Content Selection for Diverse Sequence Generation
    Jaemin Cho, Minjoon Seo, Hannaneh Hajishirzi
    EMNLP 2019
    [paper] [code] [tweet] [blog]

  • Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index
    Minjoon Seo*, Jinhyuk Lee*, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
    ACL 2019
    [paper] [code] [demo] [slides.pdf] [slides.pptx] [tweet]

2018

  • Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension
    Minjoon Seo, Tom Kwiatkowski, Ankur P. Parikh, Ali Farhadi, Hannaneh Hajishirzi
    EMNLP 2018 (short)
    [paper] [code] [slides] [website]

  • Neural Speed Reading via Skim-RNN
    Minjoon Seo*, Sewon Min*, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2018
    [paper] [poster] [slides]

2017

  • Zero-Shot Relation Extraction via Reading Comprehension
    Omer Levy, Minjoon Seo, Eunsol Choi, Luke Zettlemoyer
    CoNLL 2017
    [paper] [website]

  • Question Answering through Transfer Learning from Large Fine-Grained Supervision Data
    Sewon Min, Minjoon Seo, Hannaneh Hajishirzi
    ACL 2017 (short)
    [paper]

  • Are You Smarter than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension
    Aniruddha Kembhavi, Minjoon Seo, Dustin Schwenk, Jonghyun Choi, Ali Farhadi, Hannaneh Hajishirzi
    CVPR 2017
    [paper]

  • Bidirectional Attention Flow for Machine Comprehension
    Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2017
    [paper] [code] [website] [demo]

  • Query-Reduction Networks for Question Answering
    Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
    ICLR 2017
    [paper] [code]

-2016

  • A Diagram is Worth a Dozen Images
    Aniruddha Kembhavi, Mike Salvato*, Eric Kolve*, Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi
    ECCV 2016
    [paper] [dqa-net code]

  • Solving Geometry Problems: Combining Text and Diagram Interpretation
    Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni, Clint Malcolm
    EMNLP 2015
    [paper] [code] [slides] [website] [demo]

  • BiliCam: Using Mobile Phones to Monitor Newborn Jaundice best paper nomination
    Lilian de Greef, Mayank Goel, Minjoon Seo, Eric Larson, James Stout, James Taylor, Shwetak Patel
    UbiComp 2014
    [paper] [website]

  • Diagram Understanding in Geometry Questions
    Minjoon Seo, Hannaneh Hajishirzi, Ali Farhadi, Oren Etzioni
    AAAI 2014
    [paper] [code] [slides] [website]

* denotes equal contribution.