Naoki Otani (大谷直樹)

Research Scientist, Megagon Labs
naoki [at] megagon [dot] ai
CV [pdf], ORCID

Research Interest

My research interest is in building practical NLP and LLM systems that work robustly in production-oriented domains. I am especially interested in settings where user input is vague, noisy, or underspecified, and where systems must use implicit knowledge, situational context, or external data to respond reliably. My Ph.D. research focused on implicit knowledge for language understanding, including knowledge acquisition and situated dialogue. I extended this direction to applied NLP and LLM systems, including NLP for human resources and agentic systems for enterprise data intelligence. My current work focuses on robust LLM agents that can plan, use tools, and reason over external data while managing practical constraints such as cost and latency.

Education

2019/08 - 2023/05:
Ph.D., LTI, CMU, Advisor: Eduard Hovy.
2017/08 - 2019/08:
MS., LTI, CMU, Advisor: Eduard Hovy.
2015 - 2017:
MS., Kyoto University, Advisor: Sadao Kurohashi.
2011 - 2015:
Undergraduate, Kyoto University, Advisor: Hisashi Kashima.

Work Experience

2023/07 - Present:
Research Scientist, Megagon Labs.
2019/08 - 2023/05:
Research Assistant, Language Technologies Institute, Carnegie Mellon University.
2021/06 - 2021/08:
Internship, Microsoft Research Redmond, Online, Topic: intent-based text representation for to-do management assistance.
2020/06 - 2020/08:
Internship, Robert Bosch LLC, Online, Topic: dialogue response generation using common-sense.
2016/08 - 2016/10:
Internship, Microsoft Research Asia, Beijing, China, Topic: paraphrasing and text normalization, Received Award of Excellence.
2016/02 - 2017/03:
Internship, Yahoo! JAPAN, Tokyo, Topic: GWAP on spoken dialogue systems for knowledge acquisition.
2015/09 - 2015/10:
Internship, Mentor: Akiko Murakami, IBM Research - Tokyo, Tokyo, Topic: abbreviation disambiguation.

Publications

dblp

Journal

Conference

Workshop

Service

  • Co-organizer, The First Workshop on Natural Language Processing for Human Resources at EACL 2024.
  • Reviewer
  • Awards