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Ryuto Koike  (小池 隆斗)
PhD candidate at Tokyo Institute of Technology | Trustworthy NLP

Hello! I'm Ryuto, a second-year CS PhD candidate at Tokyo Institute of Technology. I'm honored to be advised by Prof. Naoaki Okazaki and working with Postdoc Masahiro Kaneko, and Prof. Preslav Nakov within MBZUAI (now remote).
My research lies at the intersection of Natural Language Processing(NLP) and Trustworthy AI: how can we build NLP systems that we can trust? I'm also interested in the difference between human writing and LLM writing, syntactically and semantically.
My previous work includes:

Actively looking for research collaborations, internships, and opportunities as a visiting student. Feel free to reach out to me! : ryuto.koike[at]nlp.c.titech.ac.jp

News 

May 2024: A paper accepted at ACL 2024 Findings on LLM-based evaluation @Bangkok🇹🇭.

Dec 2023: A paper accepted at AAAI 2024 on LLM detection @Vancouver🇨🇦.

Oct 2023: Our work on LLM detection was featured in Nikkei🗞.

Aug 2023: Received Double Sponsorship Awards at the YANS 2023🇯🇵.

Apr 2023: Joined Okazaki Lab, Tokyo Institute of Technology🇯🇵.

👨‍💻 Research and Work Experiences

Apr 2024 - Present:                 Research Collaborator                                         Preslav Nakov's group, MBZUAI

Jan 2024 - Present:                  Research Engineer                                               3keigo.com

Apr 2023 - Present:                 Research Assistant                                              Okazaki Lab, Tokyo Tech

Feb 2022 - Mar 2022:             Machine Learning Engineer Intern                     Exawizards, Inc.

Sep 2021 - Jan 2022:              Research Intern                                                    CyberAgent, Inc.

Jul 2021 - Aug 2021:              Machine Learning Engineer Intern                     CyberAgent, Inc.

📜 Refereed Publications

Journal

A Support System for Generating YouTube Titles using Style Transfer

Ryuto Koike, Masafumi Hagiwara
Journal of Japan Society of Kansei Engineering (In Japanese)
[Paper]

International Conference

Likelihood-based Mitigation of Evaluation Bias in Large Language Models

Masanari Ohi, Masahiro Kaneko, Ryuto Koike, Mengsay Loem, Naoaki Okazaki
ACL 2024 (Findings, Acceptance rate: xx%)
[arXiv]

OUTFOX: LLM-generated Essay Detection through In-context Learning with Adversarially Generated Examples 

Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki
AAAI 2024 (Acceptance rate: 18.4%)
[Paper] [arXiv] [Data+Code] [Technical Appendix] [Video]

Preprint

How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection

Ryuto Koike, Masahiro Kaneko, Naoaki Okazaki
arXiv 2023
[arXiv] [Data]

🗣 Domestic Conference and Symposium (In Japanese)

🎓 Education

Apr 2023 - Present:                Doctor of Engineering (Computer Science)              Tokyo Institute of Technology

Apr 2021 - Mar 2023:            Master of Engineering (Computer Science)              Keio University

Apr 2017 - Mar 2021:            Bachelor of Engineering (Computer Science)           Keio University

🏆 Honors and Awards

🧑‍🏫 Teaching Experience

Winter 2023: Machine Learning at the Department of CS, Tokyo Institute of Technology.

📸 Media

Oct 2023: Our work was featured in Nikkei🗞.

🖋 Academic Service

Reviewer: ACL2023