Abdullatif Köksal
Abdullatif Köksal has 4 papers in our library, in 2022–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Information retrieval & search; often with Hinrich Schütze, Leonie Weissweiler, Anna Korhonen.
OpenAlex · h-index 9 · 46 works · 288 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 80 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6935
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksArts and Humanities · 4 worksComputer Science · 4 worksLanguage and Linguistics · 4 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 6Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 3 worksEnglish · 1 workInterpretability · 1 workSyntax & grammar formalisms · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative (2022 · 62 citations)
The paper asks whether pretrained language models grasp both the form and the meaning of one well-known Construction Grammar (CxG) construction, the English comparative correlative (CC), as in "the more, the merrier". The authors studied BERT, RoBERTa and DeBERTa in two parts. - CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and Augmentation (2025 · 20 citations)
Fine-tuning LLMs for specialized tasks usually works better than prompting, but building large task-specific training sets requires costly manual annotation and domain expertise. - Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena (2024 · 10 citations)
Construction Grammar holds that some meaning belongs to constructions rather than to individual words. The caused-motion construction (CMC) is a classic example: in it, a verb like "sneeze" takes on a motion sense and an extra argument. The authors ask whether current LLMs grasp this, and how to collect enough data… - How Far Can Bias Go? Tracing Bias from Pre-Training Data to Alignment (2026)
This paper asks where gender-occupation stereotypes in LLMs come from, in particular whether imbalances in pre-training data carry over into what a model generates.
All works
- Balancing Methods for Multi-label Text Classification with Long-Tailed Class Distribution ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetYi Huang et al.2021 · 103 citations
- The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative CorrelativeConference on Empirical Methods in Natural Language Processing (EMNLP)Leonie Weissweiler, Valentin Hofmann, Abdullatif Köksal, et al.2022 · 62 citations
- CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
- Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic PhenomenaarXiv:2403.06965Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze2024 · 10 citations
- How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
- SilverAlign: MT-Based Silver Data Algorithm for Evaluating Word Alignment ↗Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) · no summary yetAbdullatif Koksal, Silvia Severini, Hinrich Schütze2024
Co-authors here
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2022
- Language Resources and Evaluation Conference (LREC): LREC 2026
- Transactions of the Association for Computational Linguistics (TACL): Transactions of the Association for Computational Linguistics (TACL) 2025
- Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/abdullatif-koksal/