I am a first-year ELLIS PhD Student in CIS, LMU, and Cambridge University, advised by Hinrich Schütze and Anna Korhonen. My primary research interest is the practical aspect of few-shot learning in Natural Language Processing. My most recent research focuses on uncertainty and variability in few-shot prompting. I am also interested in bias in PLMs, computational social science, and text generation.

Prior to starting my PhD, I received my BSc and MSc in Computer Engineering from Bogazici University, Istanbul, advised by Arzucan Ozgur. I also worked as an applied science intern at Amazon Books in Madrid, focusing on structured prediction from long-text documents.

News

December 2022: 🇦🇪 I will attend EMNLP 2022 in Abu Dhabi. Ping me if you would like to chat!

November 2022: 📃 New preprint: MEAL: Stable and Active Learning for Few-Shot Prompting

October 2022: 📝 Our paper, The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative, is accepted at EMNLP 2022.
📃 New preprint: SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment

September 2022: 🇪🇸 I attended ELLIS Doctoral Symposium in Alicante and presented our work on language-agnostic racial bias detection in LMs.

Selected Publications

  1. Köksal, A.; Schick, T.; Schütze, H.; MEAL: Stable and Active Learning for Few-Shot Prompting. arXiv preprint. 2022.
  2. Weissweiler, L.; Hoffmann, V.; Köksal, A.; Schütze, H.; The Better Your Syntax, the Better Your Semantics? Probing Pretrained Language Models for the English Comparative Correlative. EMNLP 2022.
  3. Köksal, A.; Severini, S.; Schütze, H.; SilverAlign: MT-Based Silver Data Algorithm For Evaluating Word Alignment. arXiv preprint. 2022.
  4. Türk, U.; Atmaca, F.; Özateş, Ş.B.; Berk, G.; Bedir, S.T.; Köksal, A.; Öztürk, B.; Güngör, T.; Özgür, A.; Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool. Language Resources and Evaluation 2022.
  5. Huang, Y.; Giledereli, B.; Köksal, A.; Özgür, A.; Ozkirimli, E.; Balancing Methods for Multilabel Text Classification with Long-Tailed Class Distribution. EMNLP 2021.
  6. Köksal, A.; Özgür, A.; The RELX Dataset and Matching the Multilingual Blanks for Cross-lingual Relation Classification. Findings of EMNLP 2020.
  7. Köksal, A.; Dönmez, H; Özçelik, R.; Ozkirimli, E.; Özgür, A.; Vapur: A Search Engine to Find Related Protein – Compound Pairs in COVID-19 Literature. Workshop on NLP for COVID-19 at EMNLP 2020. 🛳 Demo.