Minjoon Seo

2.6k citations
34 papers · 630 · 1 hit paper · h-index 10

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Domain Adaptation and Few-Shot Learning
    • Advanced Text Analysis Techniques
    • Multimodal Machine Learning Applications
    • Handwritten Text Recognition Techniques
    • Advanced Image and Video Retrieval Techniques
    • Video Analysis and Summarization

Papers in

Minjoon Seo

30 papers receiving 588 citations

Minjoon Seo's Hit Papers

REPLUG: Retrieval-Augmented Black-Box Language Models 2024 · 63 citations
630+1Years since publication204060

Peers

Minjoon Seo
Comparison fields: 5 of 54
  • Artificial Intelligence 485
  • Computer Vision and Pattern Recognition 300
  • Health Informatics 9
  • Information Systems 72
  • Computer Science Applications 9
Replace Jungo Kasai with:
Jungo Kasai United States
Lemao Liu China
Ashok C. Popat United States
Wangchunshu Zhou China
Mercan Topkara United States
Qinmin Hu Canada
Cícero Nogueira dos Santos United States
Panupong Pasupat United States
Haoran Li China
Minjoon Seo relative to Jungo Kasai United States Jungo Kasai's profile →
Citations per field
00.5×
Jungo Kasai · 1×
Citations per year

Countries citing papers authored by Minjoon Seo

Since Specialization
Citations

This map shows the geographic impact of Minjoon Seo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Minjoon Seo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjoon Seo more than expected).

Fields of papers citing papers by Minjoon Seo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minjoon Seo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Minjoon Seo. The network helps show where Minjoon Seo may publish in the future.

Co-authors

The 25 scholars most cited alongside Minjoon Seo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Minjoon Seo Line = papers co-authored together Minjoon Seo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017127
2 2019116
3 201585
4
REPLUG: Retrieval-Augmented Black-Box Language Models
Hit paper breakdown →
202463
5
CORD: A Consolidated Receipt Dataset for Post-OCR Parsing
201955
6 202134
7 202227
8 202322
9 202322
10
Post-OCR parsing: building simple and robust parser via BIO tagging
201914
11 20228
12 20217
13 20246
14 20236
15 20245
16 20245
17 20244
18 20214
19 20233
20 20233

About Minjoon Seo

Minjoon Seo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Political Science and International Relations and Statistical and Nonlinear Physics, having authored 34 papers that have together received 630 indexed citations. Recurring topics across this work include Topic Modeling (23 papers), Natural Language Processing Techniques (21 papers), Multimodal Machine Learning Applications (6 papers), Handwritten Text Recognition Techniques (4 papers), Expert finding and Q&A systems (2 papers), Semantic Web and Ontologies (2 papers), Software Engineering Research (2 papers) and Domain Adaptation and Few-Shot Learning (2 papers). The work is most often cited by research in Artificial Intelligence (485 citations), Computer Vision and Pattern Recognition (300 citations), Health Informatics (9 citations), Information Systems (72 citations) and Computer Science Applications (9 citations). Minjoon Seo has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Hannaneh Hajishirzi, Dustin Schwenk, Jonghyun Choi, Aniruddha Kembhavi, Ali Farhadi, Robin Jia, Eunsol Choi, Sohee Yang, Danqi Chen and Adam Fisch. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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