Assistant Professor
Kim Jaechul Graduate School of AI
KAIST
Seoul Campus Building 9 Suite 202
Chief Scientist
Twelve Labs
minjoon@lklab.io
seominjoon@gmail.com (permanent)
[CV]
[Google Scholar]
[GitHub]
[Twitter]
[LinkedIn]
I am an Assistant Professor at KAIST AI, where I am the Director of Language & Knowledge Lab,
and the Chief Scientist of Twelve Labs.
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!]
Please see my Semantic Scholar or Google Scholar profiles for the full list.
Gradient Ascent Post-training Enhances Language Model Generalization
Dongkeun Yoon*, Joel Jang*, Sungdong Kim, Minjoon Seo
ACL 2023 (short)
Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation
Soyoung Yoon, Sungjoon Park, Gyuwan Kim, Junhee Cho, Kihyo Park, Gyu Tae Kim, Minjoon Seo, Alice Oh
ACL 2023
[paper]
Knowledge Unlearning for Mitigating Privacy Risks in Language Models
Joel Jang, Dongkeun Yoon, Sohee Yang, Sungmin Cha, Moontae Lee, Lajanugen Logeswaran, Minjoon Seo
ACL 2023
[paper]
Nonparametric Decoding for Generative Retrieval
Hyunji Lee, Jaeyoung Kim, Hoyeon Chang, Hanseok Oh, Sohee Yang, Vlad Karpukhin, Yi Lu, Minjoon Seo
ACL 2023 Findings
[paper]
Fixed Input Parameterization for Efficient Prompting
Eunbi Choi, Yongrae Jo, Joel Jang, Joonwon Jang, Minjoon Seo
ACL 2023 Findings
[paper]
Comparing and Contrasting Claims on Contentious Issues
Miyoung Ko, Ingyu Seong, Hwaran Lee, Joonsuk Park, Minsuk Chang, Minjoon Seo
ACL 2023 Findings
[paper]
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning
Hyeonmin Ha, Soyoung Jung, Jinsol Park, Minjoon Seo, Seung-won Hwang and Byung-Gon Chun
ACL 2023 Findings
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
ICML 2023
[paper]
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo
ICLR 2023
[paper]
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]
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
Joel Jang, Seonghyeon Ye, Minjoon Seo
NeurIPS 2022 Workshop on Transfer Learning for NLP (TL4NLP)
[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]
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]
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]
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]
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]
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]
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]