Human-Inspired AI Research

Advanced AI Technology Showcase

Pioneering the future of artificial intelligence through cutting-edge research and innovation

Our Technologies

Check out our state-of-the-art AI models and systems designed to push the boundaries of what's possible

Cross-Embedding

A specialized cross-lingual embedding model for cross-lingual search, bridging languages with unprecedented accuracy and efficiency.

Reasoning KULLM

This next-generation large language model effectively solves complex problems and provides rapid responses with sophisticated Korean expressions and enhanced reasoning capabilities.

RAG Specialized KULLM

Retrieval-Augmented Generation model optimized for knowledge-intensive tasks with superior context understanding.

MAGIC

A one-stop AI-powered solution for generating and translating multilingual YouTube subtitles.

About HIAI Research

Leading AI innovation through human-inspired intelligence

Best Team

  • Over 70% PhD-level workforce composition
  • More than 10 professor-level experts
  • Top specialists from global companies like Samsung, Upstage, NC
  • All members with 10+ years of NLP & AI expertise

Best Performance

  • World's first large language model KULLM development in academia
  • KURE - highest performing Korean embedding model
  • World 1st place in WMT Machine Translation Competition (Quality Estimation Shared Task 2022)
  • Domestic 1st place in Microsoft AI for Accessibility Hackathon
  • 6 consecutive years of excellence awards at Korean Language Processing Conference

Research Leadership

  • Technical cooperation with various domestic and international companies and academia (Naver, KT, NC, Upstage, MIT, etc.)
  • Over 500 published papers domestically and internationally (ACL, EMNLP, NAACL, EACL, COLING, etc.)
  • More than 150 patent applications and registrations
  • Technology transfer exceeding 3 billion KRW
  • Research funding exceeding 40 billion KRW
  • Operating with 30 partner companies through family business agreements
  • Participating as Open Ko-LLM Leaderboard Data Sponsor

Contact Us

Get in touch with our research team

ADDRESS

Room 108, CJ Food Safety Hall, Korea University Anam Campus, 145 Anam-ro, Seongbuk-gu, Seoul, Republic of Korea