AI Research

    For engineers and researchers who build AI systems

    For researchers and students: math foundations, university courses, architectures, training methods, paper feeds, and research labs including Korean academia.

    Korean AI Academia

    Who is doing frontier AI research in Korea, what their labs work on, and how they are showing up at the top conferences.

    Who works on what

    Topics in the center, 23 researchers around them, 425 lab members on the outer ring. A lab's slice scales with its size.

    Jinheon Baek — Sung Ju HwangJaehyeong Jo — Sung Ju HwangBedionita Soro — Sung Ju HwangTaewook Nam — Sung Ju HwangYoungwan Lee — Sung Ju HwangDongki Kim — Sung Ju HwangJenny Yang — Sung Ju HwangHeejun Lee — Sung Ju HwangSangwoo Park — Sung Ju HwangJunhyun Park — Sung Ju HwangDongchan Min — Sung Ju HwangJaewoong Lee — Sung Ju HwangJunmo Cho — Sung Ju HwangYukyeong Lee — Sung Ju HwangMinki Kang — Sung Ju HwangBeomyoung Kim — Sung Ju HwangSoyeong Jeong — Sung Ju HwangSangwon Jang — Sung Ju HwangTaekyung Ki — Sung Ju HwangDongbok Lee — Sung Ju HwangGeon Park — Sung Ju HwangJin Jiongdao — Sung Ju HwangKangsan Kim — Sung Ju HwangJun Hyeong Kim — Sung Ju HwangYumin Choi — Sung Ju HwangByeongHun Bang — Sung Ju HwangDaegyu Sung — Sung Ju HwangAoxuan Silvia Zhang — Sung Ju HwangSehee Kim — Sung Ju HwangWoongyeong Yeo — Sung Ju HwangHyunbin Kwak — Sung Ju HwangHanna Lee — Sung Ju HwangHyomin Lee — Sung Ju HwangDohyeon Kim — Sung Ju HwangChangyeon Kim — Jinwoo ShinWoomin Song — Jinwoo ShinKyuyoung Kim — Jinwoo ShinHuiwon Jang — Jinwoo ShinJune Suk Choi — Jinwoo ShinDongjun Lee — Jinwoo ShinDaewon Choi — Jinwoo ShinMyungkyu Koo — Jinwoo ShinHyunseok Lee — Jinwoo ShinDongyoung Kim — Jinwoo ShinTaeyoung Kim — Jinwoo ShinJeonghoon Kim — Jinwoo ShinByungwoo Jeon — Jinwoo ShinSuhyeok Jang — Jinwoo ShinByungjun Yoon — Jinwoo ShinJunbeom Kim — Jinwoo ShinHojin Jeon — Jinwoo ShinJohn Won — Jinwoo ShinSeungjun Moon — Jinwoo ShinJimin Lee — Jinwoo ShinBeomjun Kim — Jinwoo ShinHyunjun Jeon — Jinwoo ShinYonghoon Dong — Jinwoo ShinSanghyeok Lee — Jinwoo ShinHyeonmo Kang — Jinwoo ShinDongha Lim — Jinwoo ShinSeungku Kim — Jinwoo ShinJonghoon Lee — Jinwoo ShinWook Jung — Jinwoo ShinSumin Park — Jinwoo ShinSeonghyeon Ye — Minjoon SeoHoyeon Chang — Minjoon SeoSungdong Kim — Minjoon SeoJiyeon Kim — Minjoon SeoDongkeun Yoon — Minjoon SeoGeewook Kim — Minjoon SeoSeongyun Lee — Minjoon SeoYunjae Won — Minjoon SeoHyeonbin Hwang — Minjoon SeoByeongguk Jeon — Minjoon SeoJaehyeok Doo — Minjoon SeoSeong-Su Bae — Edward ChoiEun-Byeol Cho — Edward ChoiGeon Choi — Edward ChoiYera Choi — Edward ChoiHyun-Seung Chung — Edward ChoiSujeong Im — Edward ChoiSumin Jo — Edward ChoiJiyoun Kim — Edward ChoiJunu Kim — Edward ChoiMinseo Kim — Edward ChoiYeonsu Kwon — Edward ChoiDa-Eun Kyung — Edward ChoiGyu-Bok Lee — Edward ChoiHyun-Gyung Lee — Edward ChoiJi-Young Lee — Edward ChoiJun-Min Lee — Edward ChoiFranck Meyer — Edward ChoiChaeeun Shim — Edward ChoiJeewon Yang — Edward ChoiJunseong Choi — Edward ChoiJunhee Lee — Edward ChoiNarae Ryu — Se-Young YunYongsik Lee — Se-Young YunHuzama Ahmad — Se-Young YunMinchan Jeong — Se-Young YunSanghwa Kim — Se-Young YunFelix den Breejen — Se-Young YunGahee Kim — Se-Young YunJunghyun Lee — Se-Young YunSehyeok Kang — Se-Young YunBoryeong Cho — Se-Young YunNamgyu Ho — Se-Young YunJihwan Oh — Se-Young YunHojung Jung — Se-Young YunJaehyun Kwak — Se-Young YunMinsu Kim — Se-Young YunMinu Kim — Se-Young YunYujin Kim — Se-Young YunSoowon Oh — Se-Young YunSungwoo Cho — Se-Young YunYoungrok Park — Se-Young YunHwankyu Sung — Se-Young YunSeongbeom Heo — Se-Young YunEuiin Yi — Se-Young YunMurad Aghazada — Se-Young YunSeo Hyun Kim — Se-Young YunHyun Ryu — Se-Young YunNam Cao — Se-Young YunSunwoo Hong — Se-Young YunJunhyeok Yang — Se-Young YunSegyu Lee — Se-Young YunWoosung Koh — Se-Young YunChanghae Lee — Se-Young YunSangmin Hwang — Se-Young YunYoungwoo Cho — Jaegul ChooDaehoon Gwak — Jaegul ChooKangyeol Kim — Jaegul ChooHojun Cho — Jaegul ChooSanghyeon Lee — Jaegul ChooSeunghwan Choi — Jaegul ChooByungkun Lee — Jaegul ChooJeonghoon Park — Jaegul ChooTaehee Kim — Jaegul ChooWonwoo Cho — Jaegul ChooGyuhyeon Sim — Jaegul ChooYoungwoo Youn — Jaegul ChooYujin Baek — Jaegul ChooHyunseung Kim — Jaegul ChooJimin Hong — Jaegul ChooJooyeol Yun — Jaegul ChooDongyoon Hwang — Jaegul ChooJunha Hyung — Jaegul ChooMin-Jung Kim — Jaegul ChooMinho Park — Jaegul ChooRodrigo Hormazabal — Jaegul ChooJaeseong Lee — Jaegul ChooSeungil Lee — Jaegul ChooSungwon Hwang — Jaegul ChooYoungjoo Jo — Jaegul ChooJinho Choi — Jaegul ChooSejik Park — Jaegul ChooKyungmin Lee — Jaegul ChooDohyun Lee — Jaegul ChooJunha Song — Jaegul ChooSeungbin Yang — Jaegul ChooTaewoong Kang — Jaegul ChooCheonbok Park — Jaegul ChooJaehyun Shim — Jaegul ChooJihwan Kim — Jaegul ChooChanHee Kang — Jaegul ChooDongjin Kim — Jaegul ChooHoiyeong Jin — Jaegul ChooHyojin Jang — Jaegul ChooKinam Kim — Jaegul ChooSibeen Kim — Jaegul ChooYunseung Lee — Jaegul ChooHyeongjun Yun — Jaegul ChooSangjun Park — Jaegul ChooSeokju Yun — Jaegul ChooBeomsoo Kim — Jaegul ChooYoungdo Lee — Jaegul ChooKyudan Jung — Jaegul ChooMinwoo Lee — Jaegul ChooEuijin Shin — Jaegul ChooJintae Park — Jaegul ChooJungwoo Ahn — Jaegul ChooJunyeong Ahn — Jaegul ChooMinseo Jung — Jaegul ChooJungwon Choi — Juho LeeMoonseok Choi — Juho LeeGyeonghoon Ko — Juho LeeChaeyun Jang — Juho LeeJoonhyeong Park — Juho LeeYegon Kim — Juho LeeJeongjun Lee — Juho LeeByoungwoo Park — Juho LeeSeungyoo Lee — Juho LeeSeonghyeon Kim — Juho LeeYounghwan Gil — Juho LeeJunhyun Ha — Juho LeeDeukhwan Cho — Juho LeeHyeonmin Yun — Juho LeeMingyeong Kim — Juho LeeJihong Kang — Kyoung Mu LeeBee Lim — Kyoung Mu LeeJaeyoung Chung — Kyoung Mu LeeJaeyoo Park — Kyoung Mu LeeSuyoung Lee — Kyoung Mu LeeYeonguk Oh — Kyoung Mu LeeMijeong Kim — Kyoung Mu LeeGeeho Kim — Kyoung Mu LeeHyunjin Son — Kyoung Mu LeeJaeha Kim — Kyoung Mu LeeKanggeon Lee — Kyoung Mu LeeSanghyeok Chu — Kyoung Mu LeeSangmin Hong — Kyoung Mu LeeSeoyeon Stella Yang — Kyoung Mu LeeHeewon Kim — Kyoung Mu LeeCheeun Hong — Kyoung Mu LeeJunghun Oh — Kyoung Mu LeeMinji Kim — Kyoung Mu LeeDongwan Kim — Kyoung Mu LeeWooseok Lee — Kyoung Mu LeeDohee Cho — Kyoung Mu LeeHyeongjin Nam — Kyoung Mu LeeTaeryung Lee — Kyoung Mu LeeJoonKyu Park — Kyoung Mu LeeJinkyu Kim — Kyoung Mu LeeJaerin Lee — Kyoung Mu LeeSungsu Hur — Kyoung Mu LeeSungho Jung — Kyoung Mu LeeDonghwan Kim — Kyoung Mu LeeJeongtaek Oh — Kyoung Mu LeeJunoh Kang — Kyoung Mu LeeEunjae Hong — Kyoung Mu LeeJaeyoo Huh — Kyoung Mu LeeDonghun Ryou — Kyoung Mu LeeKihoon Kim — Kyoung Mu LeeHyungseo Ahn — Kyoung Mu LeeNamgi Kim — Kyoung Mu LeeJungyoon Choi — Kyoung Mu LeeSuho Park — Kyoung Mu LeeJinYoung Choi — Kyoung Mu LeeWonjae Roh — Kyoung Mu LeeInju Ha — Kyoung Mu LeeMingu Kang — Kyoung Mu LeeDaeul Park — Kyoung Mu LeeJihwan Kim — Kyoung Mu LeeKyujin Lim — Kyoung Mu LeeJunha Park — Kyoung Mu LeeYunsu Lee — Byoung-Tak ZhangHyeonji So — Byoung-Tak ZhangKisung Shin — Byoung-Tak ZhangChanghoon Jeong — Byoung-Tak ZhangEmaase Patrick Mokodir — Byoung-Tak ZhangGanghun Lee — Byoung-Tak ZhangHye-Jung Yoon — Byoung-Tak ZhangHyundo Lee — Byoung-Tak ZhangHyunseo Kim — Byoung-Tak ZhangJaehyeon Lee — Byoung-Tak ZhangJaein Kim — Byoung-Tak ZhangJesoon Kang — Byoung-Tak ZhangJoonho Kim — Byoung-Tak ZhangJunghyun Kim — Byoung-Tak ZhangJuno Kim — Byoung-Tak ZhangMin Whoo Lee — Byoung-Tak ZhangMinji Kim — Byoung-Tak ZhangMinjoon Jung — Byoung-Tak ZhangMoonhoen Lee — Byoung-Tak ZhangSeongjun Jeong — Byoung-Tak ZhangWon-Seok Choi — Byoung-Tak ZhangYeon-Ji Song — Byoung-Tak ZhangYoonsung Kim — Byoung-Tak ZhangHanwool Sul — Byoung-Tak ZhangHeebin Yoo — Byoung-Tak ZhangJinu Pahk — Byoung-Tak ZhangJunseok Lee — Byoung-Tak ZhangMin Jeong Gu — Byoung-Tak ZhangNakwon Sung — Byoung-Tak ZhangSuhyung Choi — Byoung-Tak ZhangSu-Jin Jeon — Byoung-Tak ZhangSungdon Kim — Byoung-Tak ZhangSuyeon Shin — Byoung-Tak ZhangYesol Park — Byoung-Tak ZhangYoungseok Joo — Byoung-Tak ZhangYoungwoon Seo — Byoung-Tak ZhangByungju Kim — Byoung-Tak ZhangChungwoo Lee — Byoung-Tak ZhangDohyun Yu — Byoung-Tak ZhangDonghwi Kim — Byoung-Tak ZhangNgseo Kim — Byoung-Tak ZhangGeonmyeong Lee — Byoung-Tak ZhangHochan Bang — Byoung-Tak ZhangJane Shin — Byoung-Tak ZhangJeongyoon Oh — Byoung-Tak ZhangJuwon Kim — Byoung-Tak ZhangKyuhwan Shim — Byoung-Tak ZhangSeul Kim — Byoung-Tak ZhangSunghyun Kwon — Byoung-Tak ZhangTheo Taeyeong Kim — Byoung-Tak ZhangWooyul Jung — Byoung-Tak ZhangJoonil Na — Gunhee KimJaewoo Ahn — Gunhee KimJinseo Jeong — Gunhee KimWonkwang Lee — Gunhee KimJihwan Moon — Gunhee KimEunkyu Park — Gunhee KimJunseo Koo — Gunhee KimSehun Lee — Gunhee KimSeungyoon Woo — Gunhee KimDayoon Ko — Gunhee KimTaehyun Lee — Gunhee KimSeokwon Song — Gunhee KimKeonhee Park — Gunhee KimYerim Oh — Gunhee KimDongjin Kang — Gunhee KimJunyoung Lim — Gunhee KimMinsu Park — Gunhee KimHyunsoo Kim — Gunhee KimSeyeon Choi — Gunhee KimJunseo Kim — Gunhee KimSohyeon Kim — Gunhee KimYoonji Nam — Gunhee KimSeungyong Moon — Hyun Oh SongGaon An — Hyun Oh SongDeokjae Lee — Hyun Oh SongJinuk Kim — Hyun Oh SongWun Hur — Hyun Oh SongYoungin Kim — Hyun Oh SongJunyoung Yeom — Hyun Oh SongSihun Chu — Hyun Oh SongMinjae Kang — Songhwai OhJeongho Park — Songhwai OhWooseok Oh — Songhwai OhHongjung Lee — Songhwai OhJeongwoo Oh — Songhwai OhJaeyeon Jeong — Songhwai OhHowoong Jun — Songhwai OhHojun Chung — Songhwai OhJunseo Lee — Songhwai OhJunseok Kim — Songhwai OhJaewon Lee — Songhwai OhHyeokjin Kwon — Songhwai OhGeunje Cheon — Songhwai OhYoseph Park — Songhwai OhMinsoo Kim — Songhwai OhJooyoung Kim — Songhwai OhHosung Lee — Songhwai OhHyeondal Son — Songhwai OhSeoyoung Lim — Songhwai OhJaeseok Yang — Songhwai OhHyeogjin Lee — Nojun KwakYoung-Kyoo Hwang — Nojun KwakYoung-Su Cho — Nojun KwakSeungeui Lee — Nojun KwakGyutae Park — Nojun KwakJunghyun Oh — Nojun KwakJoo-Young Jang — Nojun KwakJongmok Kim — Nojun KwakGeunjae Choi — Nojun KwakJaeseung Lim — Nojun KwakKamin Lee — Nojun KwakJiyeon Seo — Nojun KwakGeonseok Seo — Nojun KwakSunghyun Wee — Nojun KwakIngyun Lee — Nojun KwakWonhark Park — Nojun KwakSang-Kuk Lee — Nojun KwakMyunggi Lee — Nojun KwakSungjoon Son — Nojun KwakYongsu Lee — Nojun KwakMinSung Hyun — Nojun KwakJooKyung Song — Nojun KwakYearim Kim — Nojun KwakJunHoo Lee — Nojun KwakSuyoung Kim — Nojun KwakYeonjin Chang — Nojun KwakSangyu Han — Nojun KwakJaehyun Lee — Nojun KwakKyomin Hwang — Nojun KwakWonsik Shin — Nojun KwakDongkwan Lee — Nojun KwakHyeonjin Kim — Nojun KwakHyunho Lee — Nojun KwakSungmo Kim — Nojun KwakHyeongseok Lee — Nojun KwakSangbum Han — Nojun KwakJaewon Jang — Nojun KwakJunmo Koo — Nojun KwakMijin Koo — Nojun KwakJuhwan Cho — Nojun KwakHahyeon Choi — Nojun KwakGeunwon Jun — Nojun KwakYun Kim — Nojun KwakSehoon Kim — Nojun KwakSeungyeon Kim — Nojun KwakSoohong Kim — Nojun KwakSeoyeon Ahn — Nojun KwakKeunyoung Kim — Nojun KwakDaewon Yoon — Nojun KwakMinkyu Kim — Nojun KwakBaekSeung Kim — Nojun KwakInjun Baek — Nojun KwakWonguen Cho — Nojun KwakJinju Jang — Nojun KwakJongseok Park — Nojun KwakKisu Yang — Heuiseok LimJaekue Choi — Heuiseok LimJinsung Kim — Heuiseok LimJunyoung Son — Heuiseok LimSuhyune Son — Heuiseok LimMyunghoon Kang — Heuiseok LimSeonmin Koo — Heuiseok LimJungseob Lee — Heuiseok LimJaewook Lee — Heuiseok LimDahyun Jung — Heuiseok LimSeungyoon Lee — Heuiseok LimSeongtae Hong — Heuiseok LimMinhyuk Kim — Heuiseok LimYoungjoon Jang — Heuiseok LimChanhee Park — Heuiseok LimHayoon Zi — Heuiseok LimJeongHo Yoon — Heuiseok LimJimin Jung — Heuiseok LimSungbin Han — Heuiseok LimMyoungJin Kim — Heuiseok LimGun Yang — Heuiseok LimSeongkyoo Baek — Heuiseok LimTaeGun Youn — Heuiseok LimDuong Tuan Thanh — Heuiseok LimKAISTSNUYonseiPOSTECHKorea UnivIndustrySung Ju HwangJinwoo ShinAlice OhMinjoon SeoEdward ChoiSe-Young YunJaegul ChooKimin LeeJuho LeeSteven Euijong WhangKyoung Mu LeeSungroh YoonByoung-Tak ZhangGunhee KimHyun Oh SongSonghwai OhNojun KwakYoungjae YuMinsu ChoSeong-Whan LeeHeuiseok LimSangdoo YunHonglak LeeLLMs & NLP · 8Retrieval · 2Safety · 5Generative · 7Foundations · 7RL · 3Efficiency · 5Health & Bio · 3Vision · 7Multimodal · 5Embodied · 3

    Hover or tap a researcher to see their topics, who shares them, and their lab members; tap a topic to see everyone in that area. Connections mean shared research topics, not necessarily co-authorship; outer-ring dots are current grad students from each lab's own page.

    Does academia fit the Next Waves?

    Each researcher's work mapped onto the five waves of AI value creation — our editorial framework from Next Waves.

    W1 Compute & Memory
    none here
    W2 Frontier Models
    19 researchers
    W3 Agentic Labor
    6 researchers
    W4 AI for Science
    5 researchers
    W5 Embodiment
    4 researchers

    The center of gravity is unmistakable: 19 of 23 researchers here work on Wave 2 — frontier models, their evaluation, and their economics. That is the wave Korea already missed commercially and where Chinese open weights are commoditizing value. But look closer and much of this W2 work is really about making models cheap — distillation (DistiLLM-2), KV-cache compression (KVzip), adaptive recursion depth — which is exactly the research a sovereign-AI program running on constrained compute needs.

    Wave 3, agentic labor — the wave industry is in right now — has thinner but real coverage (6 researchers): web agents that generalize out of domain, search-reasoning agents, taxonomies for steering how reasoning models think, RLHF and alignment. Wave 4 has genuine seeds (5): simulated patients and hospital workflows winning best-paper awards, fusion-plasma forecasting, brain imaging. And Wave 5 — Korea's structural opening — is where the academic bench lines up best with the industrial thesis (4 labs): humanoid loco-manipulation VLAs, language-driven dexterous grasping, 3D affordance grounding, with roughly 130 grad students in those labs' rosters.

    The honest gaps: no one in this AI-faculty set works on Wave 1 — the compute-and-memory wave Korea actually won lives in EE departments and industry fabs, not AI graduate schools. And the W3 gap matters most: industry's current wave is agents shipped as products, and Korea has no academic cluster the size of its model-efficiency cluster working on agentic systems. The verdict: academia is not "off" so much as one wave behind the industrial front — deep where models get cheap, positioned well for embodiment, and thin exactly where the money is moving this year.

    KAIST — Kim Jaechul Graduate School of AI

    University

    Korea's largest dedicated AI graduate school. Faculty labs span LLMs and generative models, ML theory, NLP, and healthcare AI — and seed a notable share of Korea's AI startups.

    Visit

    At the conferences

    The largest single-institution contributor in the NAIRL network's ICML 2026 cohort — 13 papers from 7 PIs — with KAIST labs publishing across NeurIPS, ICML, and ICLR every cycle.

    Sung Ju HwangMLAI LabEfficient and long-context generative models, LLMs, self-evolving AI
    Jinwoo ShinALIN LabAlgorithmic foundations of ML, robustness, self-supervised learning
    Alice OhNLP·CSS groupMultilingual and multicultural LLM evaluation, AI ethics and safety
    Minjoon SeoLK LabRetrieval and knowledge in LLMs; co-founder/CEO of Config Intelligence
    Edward ChoiRepresentation learning on electronic health records, medical AI
    Se-Young YunOSI LabDistributed and federated learning, LLM efficiency and reasoning
    Jaegul ChooDAVIAN LabGenerative models, visual computing, human-AI interaction
    Kimin LeeReinforcement learning, RLHF and alignment for generative models
    Juho LeeSIML LabBayesian deep learning, probabilistic and generative modeling
    Steven Euijong WhangData Intelligence LabData-centric AI, responsible and robust machine learning

    Seoul National University — AI Institute (AIIS)

    University

    SNU's interdisciplinary AI institute, connecting labs across engineering, natural sciences, and medicine — deepest in computer vision, deep learning systems, and biointelligence.

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    At the conferences

    SNU vision and ML labs place papers at NeurIPS, ICML, and CVPR every cycle; the Vision & Learning Lab alone reported NeurIPS 2025 and ICML 2025 acceptances.

    Kyoung Mu LeeComputer Vision LabComputer vision, image restoration, 3D understanding
    Sungroh YoonData Science & AI LabDeep learning, on-device AI, bioinformatics
    Byoung-Tak ZhangBiointelligence LabEmbodied and cognitive AI, human-level learning
    Gunhee KimVision & Learning LabMultimodal learning, vision-language models
    Hyun Oh SongMachine Learning LabEfficient deep learning, discrete optimization, reinforcement learning
    Songhwai OhRobot Learning LabRobot learning, motion planning, safe autonomy
    Nojun KwakMIPALComputer vision, object detection, efficient on-device models

    NAIRL — National AI Research Lab Network

    Research Network

    A cross-institution network of AI labs spanning KAIST, Yonsei, Korea University, and POSTECH, pooling frontier research across the member universities.

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    At the conferences

    Announced 31 accepted papers at ICML 2026 across the network — the clearest single number for how Korean university AI research is showing up at top venues.

    Youngjae YuYonseiMultimodal learning, commonsense reasoning, robot learning
    Minsu ChoPOSTECH · Computer Vision LabVisual correspondence, object discovery, minimally-supervised learning
    Seong-Whan LeeKorea UnivPattern recognition, brain-computer interfaces; head of the AI department
    Heuiseok LimKorea Univ · NLP & AI LabKorean NLP, large language models, dialogue systems

    NAVER AI Lab (TEAM NAVER)

    Corporate Lab

    NAVER's research arm behind HyperCLOVA X — publishing on efficient large-scale AI, generative-AI safety, and robotics/physical AI alongside the product work. Former lab head Jung-Woo Ha became Korea's first senior presidential secretary for AI in 2025.

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    At the conferences

    10 papers accepted at NeurIPS 2025 — the strongest disclosed top-venue showing by a Korean corporate lab that year.

    Sangdoo YunNAVER AI LabVision and multimodal foundation models, data-centric training methods

    LG AI Research

    Corporate Lab

    Korea's corporate frontier lab: the EXAONE model family (including open weights), AI for science and materials discovery, and one of the five MSIT sovereign-AI mandates. Former president Kyunghoon Bae became Korea's Minister of Science and ICT.

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    At the conferences

    Publishes EXAONE technical reports and top-venue papers alongside open-weight releases on Hugging Face.

    Honglak LeeLG AI ResearchDeep representation and generative learning; chief scientist (also U. Michigan)

    Major Conferences

    The venues AI research is measured against — and where Korean labs are showing up.

    NeurIPS
    Machine Learning
    December, annual

    Neural Information Processing Systems

    The field's flagship venue. TEAM NAVER had 10 papers accepted in 2025 — the strongest disclosed showing by a Korean corporate lab.

    ICML
    Machine Learning
    July, annual

    International Conference on Machine Learning

    One of ML's big three. The Korean NAIRL network announced 31 accepted papers in 2026, KAIST the largest single institution at 13.

    ICLR
    Machine Learning
    April–May, annual

    International Conference on Learning Representations

    Deep learning's open-review venue — reviews and rebuttals are public on OpenReview.

    CVPR
    Computer Vision
    June, annual

    Computer Vision and Pattern Recognition

    The largest computer-vision venue; a regular target for SNU, KAIST, and NAVER vision labs.

    ICCV
    Computer Vision
    October, odd years

    International Conference on Computer Vision

    CVPR's odd-year sibling, alternating with ECCV.

    ECCV
    Computer Vision
    Autumn, even years

    European Conference on Computer Vision

    Europe's top vision venue, alternating years with ICCV.

    ACL
    NLP
    July, annual

    Association for Computational Linguistics

    NLP's flagship — where Korean-language benchmark and LLM-evaluation work lands.

    EMNLP
    NLP
    November, annual

    Empirical Methods in Natural Language Processing

    ACL's empirical sibling; strong Korean lab presence in retrieval and evaluation tracks.

    AAAI
    Broad AI
    January–February, annual

    AAAI Conference on Artificial Intelligence

    The broadest general-AI venue, spanning ML, reasoning, and applications.

    KDD
    Data Mining
    August, annual

    Knowledge Discovery and Data Mining

    The top venue for data mining and applied ML systems.

    CoRL
    Robotics
    Autumn, annual

    Conference on Robot Learning

    Where learning meets robotics — the venue to watch as Korea pushes embodied AI.

    ICRA
    Robotics
    May–June, annual

    IEEE International Conference on Robotics and Automation

    Robotics' largest venue; relevant to Korea's robot-density and embodiment story.