Se June Joo
I'm a Master's student at KAIST, where I work on algorithms for smarter robots. My research focuses on foundation models and robotics – to enable robots to efficiently interact and learn from the world.
Se June Joo is a Master's student at HuGe Lab, KAIST. He received his Bachelors in Mathematics and Computer Science at Yonsei University. He is interested in building algorithms that enable robots to efficiently interact and learn from the world. Se June received Best Paper Awards from NAACL '25, Best Student Paper Awards from ACL '24.
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sejunejoo at gmail dot com
Prime the Search: Using Large Language Models for Guiding Geometric Task and Motion Planning by Warm-starting Tree Search
Dongryung Lee*, Se June Joo*, Kimin Lee, and Beomjoon Kim
* equal contribution
The International Journal of Robotics Research (IJRR)
Latent Action Pretraining from Videos
Seonghyeon Ye*, Joel Jang*, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
* equal contribution
International Conference on Learning Representations (ICLR) 2025
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The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Cho, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2025
★ Best Paper Award ★
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Semiparametric Token-Sequence Co-Supervision
Hyunji Lee, Doyoung Kim, Jihoon Jun, Se June Joo, Joel Jang, Kyoung-Woon On, Minjoon Seo
Annual Meeting of the Association for Computational Linguistics (ACL) 2024
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How Well Do Large Language Models Truly Ground?
Hyunji Lee*, Se June Joo*, Chaeeun Kim, Joel Jang, Doyoung Kim, Kyoung-Woon On, Minjoon Seo
* equal contribution
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) 2024
★ Best Stduent Paper Award (The Third Workshop on Knowledge Augmented Methods for NLP) ★
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The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim*, Se June Joo*, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo
* equal contribution
Conference on Empirical Methods in Natural Language Processing (EMNLP) 2023
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CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
Seungone Kim, Se June Joo, Yul Jang, Hyungjoo Chae, Jinyoung Yeo
The European Chapter of the ACL (EACL) 2023 Demo
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Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarizations
Seungone Kim*, Se June Joo*, Hyungjoo Chae*, Chaehyeong Kim*, Seung-won Hwang, Jinyoung Yeo
* equal contribution
International Conference on Computational Linguistics (COLING) 2022
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