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Yuki Arase Lab
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The lab aims to build artificial intelligence that understands and generates language like humans.
AboutAbout the lab
Toward AI that understands and generates language like humans.
The Yuki Arase Lab conducts research aiming to realize artificial intelligence that understands and generates language like humans.
The lab seeks to uncover how people build up the meaning of language in order to understand it.
As applications useful to society, the lab develops systems that support language learners and technologies for intelligently processing medical text.
It also works on evaluation techniques that examine whether large language models behave in ways that are unacceptable to people and society.
Key terms
- Hallucination
- A phenomenon in which a large language model produces untrue statements as plausible-sounding text
- Paraphrase
- Expressions that use different words or sentence forms but have almost the same meaning
- Large language model
- An AI that learns how words connect from large amounts of text, and can generate text and respond
NewsLab news
Paper accepted to the international conference EMNLP 2026
Master's student wins a company award at the Young Researchers Symposium on Natural Language Processing
Student co-authored paper wins Best Paper Award at BEA 2026
Student co-authored paper wins first place in the BEA 2026 shared task
Paper accepted to the EvalEval workshop at ACL 2026
ResearchResearch themes
The lab aims to uncover how people build up and understand the meaning of language. At the same time, it works to realize artificial intelligence that generates text able to convey intent as effectively as humans do.
*Illustrative imageSemantic Similarity
The lab studies techniques for estimating how similar in meaning two texts are. It develops techniques for finding and generating paraphrases, which have different words or sentence forms but close meanings.
*Illustrative imageLanguage Learning Support
Applying paraphrasing techniques, the lab works on text simplification, which converts English text written by native speakers into various difficulty levels. It also studies technologies useful for language learning, such as estimating the difficulty of English texts.
*Illustrative imageNatural Language Processing for Medicine
Much of the information in medical records, nursing records, and examination reports remains in unstructured text. The lab develops techniques for processing medical documents so that the course of treatment and examinations can be grasped and reused as knowledge.
*Illustrative imageEvaluation of Large Language Models
Large language models have problems such as hallucination, generation of false information, and promotion of social bias. The lab develops techniques to comprehensively detect and evaluate behaviors that are unacceptable to people and society.
MembersFaculty
The members of the Yuki Arase Lab are faculty, PhD, master's, and undergraduate students, exchange students, and external collaborators.As of 2026
- ProfessorYuki Arase YukiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Beijing printing museum.wooden movable types” Popolon / CC BY-SA 4.0 (cropped)
- Semantic Similarity: “Auerbach open” LA2 / CC BY-SA 3.0 (cropped)
- Language Learning Support: “Professor and students in a university classroom in Tennessee” Harrison Keely / CC BY 4.0 (cropped)
- Natural Language Processing for Medicine: “Medical history - district doctor table cca 1925” Takkk / CC BY-SA 3.0 (cropped)
- Evaluation of Large Language Models: “Artificial Neural Network with Chip” mikemacmarketing / photo on flickr / CC BY 2.0 (cropped)
- Related lab (岡崎研究室): “Birthdaytagcloud” User:Killiondude / Public domain (cropped)
- Related lab (吉野研究室): “Close up view of a microphone set up in a recording studio” Shixart1985 / CC BY 2.0 (cropped)
- Related lab (齋藤研究室): “Utah teapot surreal” Dhatfield / CC BY-SA 3.0 (cropped)
- Related lab (佐久間研究室): “Old Town Hall Bank Museum, vault door ( )” Preservation Maryland / CC BY-SA 2.0 (cropped)
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