📢 Actively looking for full-time industrial researcher positions starting in April 2026.

I am Ryuto, a final-year PhD student (est. March 2026) at the Institute of Science Tokyo, advised by Prof. Naoaki Okazaki. During my PhD, I have engaged in multiple collaborative research with leading scholars in NLP, including Prof. Chris Callison-Burch at Penn NLP (as a visiting student) and Prof. Preslav Nakov at MBZUAI NLP (remote). In addition to my PhD research, I am involved as an advisor for a startup on multi-lingual text generation.

My research focuses on the automated detection of AI-generated content. Particularly, I am interested in how to build deployable AI detectors in real-world scenarios with minimum harm. Besides detection, I have also worked on improving the reliability of LLM-as-a-judge in text evaluation. My previous work has included:

• 💪 Robustness. Against adversarial attacks (e.g., paraphrasing) [AAAI'24] and distributional shifts via prompt variation in the wild [EMNLP'24 Findings]
• 👀 Interpretability. Presenting similar examples as detection evidence [In submission]; NLP experts might actually detect AI-generated texts with some clues [In submission]
• 📊 Evaluation. More reliable LLM-as-a-judge [ACL'24 Findings]

I am also interested in applying AI detection to other domains: training-set filtering, content moderation, writing improvement, etc.

• Personal Website: sites.google.com/view/ryutokoike/
• Twitter: @sponddd
• email: my_first_name.my_last_name[at]nlp.c.titech.ac.jp