Minjoon Seo (서민준)
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!]
Selected Papers
Please see my Semantic Scholar or Google Scholar profiles for the full list.
2023
-
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]
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] -
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]
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]