| 2026 | EACL | Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SciLire System. | Necva Blc, Jessica Irons, Changhyun Lee, Brian Jin, Maciej Rybinski, Huichen Yang, Andreas Duenser, Stephen Wan |
| 2026 | EACL | MetaLead: A Comprehensive Human-Curated Leaderboard Dataset for Transparent Reporting of Machine Learning Experiments. | Roelien C. Timmer, Necva Blc, Stephen Wan |
| 2026 | ICTIR | To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity. | Jessica Irons, Patrick S. Cooper, Necva Blc, Andreas Duenser, Roelien C. Timmer, Huichen Yang, Changhyun Lee, Brian Jin, Stephen Wan |
| 2026 | SIGIR | CT | Maciej Rybinski, Wojciech Kusa, Necva Blc, Georgios Peikos, Aditya Joshi, Sarvnaz Karimi, Aitziber Atutxa, Javier Del Ser, Ahmet Blc, Monica Chierichetti, Pritam Dasgupta, Nicols Jimnez Garca, Borja Pedruzo, Angelika Romanska, Ioulia Symeonidou |
| 2025 | CIKM | PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature. | Maciej Rybinski, Necva Blc, Huichen Yang, Stephen Wan |
| 2025 | EMNLP | Do We Really Need All Those Dimensions? An Intrinsic Evaluation Framework for Compressed Embeddings. | Nathan Inkiriwang, Necva Blc, Garth Tarr, Maciej Rybinski |
| 2023 | EMNLP | impact of sample selection on in-context learning for entity extraction from scientific writing. | Necva Blc, Maciej Rybinski, Stephen Wan |
| 2022 | LREC | Turkish Universal Conceptual Cognitive Annotation. | Necva Blc, Burcu Can |
| 2017 | CICLING | Joint PoS Tagging and Stemming for Agglutinative Languages. | Necva Blc, Burcu Can |