Defne Çirci

Student

Appointments and Affiliations

  • Student

Contact Information

Research Interests

I aim to understand complex relations between material features and physical properties. Using statistical learning techniques such as natural language processing, I am working on extracting valuable information that is embedded in materials science literature.

Awards, Honors, and Distinctions

  • Center of Excellence in Data Analytics Graduation Project Awards 2022. Sabanci University. 2022
  • Honorable Mention. The International Symposium on Health Informatics and Bioinformatics (HIBIT). 2021

Representative Publications

  • Ismayilzada, Mete, Defne Circi, Jonne Sälevä, Hale Sirin, Abdullatif Köksal, Bhuwan Dhingra, Antoine Bosselut, Lonneke van der Plas, and Duygu Ataman. “Evaluating Morphological Compositional Generalization in Large Language Models,” October 16, 2024.
  • Circi, D., G. Khalighinejad, A. Chen, B. Dhingra, and L. C. Brinson. “How Well Do Large Language Models Understand Tables in Materials Science?” Integrating Materials and Manufacturing Innovation 13, no. 3 (September 1, 2024): 669–87. https://doi.org/10.1007/s40192-024-00362-6.
  • Khalighinejad, Ghazal, Defne Circi, L. C. Brinson, and Bhuwan Dhingra. “Extracting Polymer Nanocomposite Samples from Full-Length Documents,” February 29, 2024.
  • Jablonka, Kevin Maik, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, et al. “14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon.” Digital Discovery 2, no. 5 (October 2023): 1233–50. https://doi.org/10.1039/d3dd00113j.
  • Jablonka, Kevin Maik, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar, Joshua D. Bocarsly, Andres M. Bran, Stefan Bringuier, et al. “14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon,” June 9, 2023.