Conference Proceedings

  • F. Şahinuç, T. T. Tran, Y. Grishina, B. Chen, Y. Hou, and I. Gurevych. (2024). Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, (pp. 7963–7977).


  • F. Şahinuç, I. Kuznetsov, Y. Hou, and I. Gurevych. (2024). Systematic Task Exploration with LLMs: A Study in Citation Text Generation. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), (pp. 4832–4855).


  • C. Toraman, O. Ozcelik, F. Şahinuç, and F. Can. (2024). MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), (pp. 11283–11295).


  • C. Toraman, F. Şahinuç, and E. H. Yilmaz. (2022). Large-scale Hate Speech Detection with Cross-domain Transfer. In Proceedings of The Language Resources and Evaluation Conference (LREC), (pp. 2215–2225).


  • C. Toraman, F. Şahinuç, and E. H. Yilmaz. (2022). BlackLivesMatter2020: An Analysis of Deleted and Suspended Users in Twitter. In 14th ACM Web Science Conference 2022, (pp. 290–295).


  • C. Toraman, O. Ozcelik, F. Şahinuç, and U. Sahin. (2022). ARC-NLP at CheckThat! 2022: Contradiction for Harmful Tweet Detection. In Working notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, (pp. 722-739).


  • O. Ozcelik, E. H. Yilmaz, F. Şahinuç, and C. Toraman. (2022). Slot Filling for Voice Assistants. In 30th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).


  • F. Şahinuç and C. Toraman. (2021). Tweet Length Matters: A Comparative Analysis on Topic Detection in Microblogs. In European Conference on Information Retrieval (ECIR), (pp. 471–478).


  • F. Şahinuç, C. Toraman, and A. Koç. (2021). Topic Detection Based on Deep Learning Language Model in Turkish Microblogs. In 29th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).


  • F. Şahinuç, V. Yücesoy, and A. Koç. (2020). Intent Classification and Slot Filling for Turkish Dialogue Systems. In 28th Signal Processing and Communications Applications Conference (SIU), (pp. 1–4).


Journal Articles

  • N. Sevim, E. O. Ozyedek, F. Şahinuç, T. Ozates, and A. Koç. (2025). Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers. Signal, Image and Video Processing, 19(12). doi: 10.1007/s11760-025-04552-3


  • C. Toraman, F. Şahinuç, E. H. Yilmaz, and O. Ozcelik. (2023). Impact of Tokenization on Language Models: An Analysis for Turkish. ACM Transactions on Asian and Low-Resource Language Information Processing. 22(4), 1-21.


  • F. Şahinuç and A. Koç. (2022). Fractional Fourier Transform Meets Transformer Encoder. IEEE Signal Processing Letters. 29, 2258-2262.
  • F. Şahinuç, E. H. Yilmaz, C. Toraman, and A. Koç. (2022). The Effect of Gender Bias on Hate Speech Detection. Signal, Image and Video Processing.


  • L. K. Şenel, F. Şahinuç, V. Yücesoy, H. Schütze, T. Çukur, and A. Koç. (2022). Learning Interpretable Word Embeddings via Bidirectional Alignment of Embedding Dimensions with Semantic Concepts. Information Processing & Management, 59(3), 102925.


  • N. Sevim, F. Şahinuç, and A. Koç (2022). Gender Bias in Legal Corpora and Debiasing it. Natural Language Engineering, 29(2), 449-482.


  • C. Toraman, F. Şahinuç, E. H. Yilmaz, and I. B. Akkaya. (2022). Understanding Social Engagements: A Comparative Analysis of User and Text Features in Twitter. Social Network Analysis and Mining, 12(47).


  • F. Şahinuç and A. Koç. (2021). Zipfian Regularities in Non-point Word Representations. Information Processing & Management, 58(3), 102493.


  • L. K. Şenel, İ. Utlu, F. Şahinuç, H. M. Ozaktas, and A. Koç. (2020). Imparting Interpretability to Word Embeddings While Preserving Semantic Structure. Natural Language Engineering, 27(6), 721–746.


Preprints

  • F. Şahinuç, S. Dutta, and I. Gurevych. (2025). Expert Preference-based Evaluation of Automated Related Work Generation. arXiv:2508.07955.