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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.

4 papers in our library · 2022–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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.
  3. 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…
  4. 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

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. 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
  2. Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic PhenomenaarXiv:2403.06965Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze2024 · 10 citations
  3. 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

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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