Hyundai-Emory Collaboration

This collaborative project between Emory NLP and Hyundai Motor aims to enhance the efficiency and accuracy of crash engineering processes through advanced AI integration. The primary objective is to develop a Generative AI Assistant Model capable of analyzing extensive crash test data, interpreting complex engineering scenarios, and providing informed solutions for crash safety improvements. This model is expected to significantly advance vehicle crash engineering and offer practical applications in various other engineering fields by leveraging AI to interpret and utilize large volumes of data more effectively.

• Funded by Hyundai Motor
• Duration: 06/2023 ~ 05/2024

Directors

• Jinho Choi - Associate Professor at Emory University
  
• Shinsun Lee - Chief Product Officer at Real Life Sciences

Publications

• Reference-Aligned Retrieval-Augmented Question Answering over Heterogeneous Proprietary Documents. Byun, G.; Lee, S.; Choi, N.; and Choi, J. D. arXiv, 2025.
• Secure Multifaceted-RAG: Hybrid Knowledge Retrieval with Security Filtering. Choi, N.; Byun, G.; Chung, A.; Paek, E. S.; Lee, S.; and Choi, J. D. arXiv, 2025.
• D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Models. Byun G. and Choi, J. D. Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL): Findings, 2025.