---
title: "Who cites Abdullatif Köksal — 78 papers of our library"
description: "78 papers of the Elamur Research library cite the works of Abdullatif Köksal, found in their bibliographies; the most cited first."
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---
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# Who cites Abdullatif Köksal

80 citations of their works from 78 papers of our library (of the 149,439 whose bibliographies we read) · 23 with a page here, the most cited first · [← Abdullatif Köksal](https://md.research.elamur.ai/free/en/authors/abdullatif-koksal/)

1. **[Language Model Behavior: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations*
2. **[Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs](https://md.research.elamur.ai/free/en/papers/misra-2024-language-models-learn-rare-phenomena/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kanishka Misra, Kyle Mahowald*2024 · 55 citations*
3. **[Construction Grammar Provides Unique Insight into Neural Language Models](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-construction-grammar-provides-unique-insight/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Leonie Weissweiler, Taiqi He, Naoki Otani, et al.*2023 · 26 citations*
4. **[A Construction Grammar Corpus of Varying Schematicity: A Dataset for the Evaluation of Abstractions in Language Models](https://md.research.elamur.ai/free/en/papers/bonial-2024-construction-grammar-corpus-varying-schematicity/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Claire Bonial, Harish Tayyar Madabushi*2024 · 13 citations*
5. **[MDCure: A Scalable Pipeline for Multi-Document Instruction-Following](https://md.research.elamur.ai/free/en/papers/liu-2025-mdcure-scalable-pipeline-multi-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.*2025 · 11 citations*
6. **[Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models](https://md.research.elamur.ai/free/en/papers/rambelli-2023-are-frequent-phrases-directly-retrieved/) [Workshop on Multiword Expressions (MWE)](https://md.research.elamur.ai/free/en/venues/mwe/)**Giulia Rambelli, Emmanuele Chersoni, Marco S. G. Senaldi, et al.*2023 · 11 citations*
7. [**Hybrid Human-LLM Corpus Construction and LLM Evaluation for Rare Linguistic Phenomena arXiv:2403.06965**Leonie Weissweiler, Abdullatif Koksal, Hinrich Schutze*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/weissweiler-2024-hybrid-human-llm-corpus-construction/)
8. **[Constructions are Revealed in Word Distributions](https://md.research.elamur.ai/free/en/papers/rozner-2025-constructions-are-revealed-word-distributions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Joshua Rozner, Leonie Weissweiler, Kyle Mahowald, et al.*2025 · 9 citations*
9. [**Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation**Dominik Glandorf, Detmar Meurers*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/glandorf-2024-fine-grained-pedagogical-control-over/)
10. **[Evaluating CxG Generalisation in LLMs via Construction-Based NLI Fine Tuning](https://md.research.elamur.ai/free/en/papers/mackintosh-2025-evaluating-cxg-generalisation-llms-construction/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Tom Mackintosh, Harish Tayyar Madabushi, Claire Bonial*2025 · 3 citations*
11. [**Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model arXiv:2502.05312**Ahlam Alrehili, Areej Alhothali*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/alrehili-2025-towards-development-balanced-synthetic-data/)
12. **[You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings](https://md.research.elamur.ai/free/en/papers/verheyen-2025-you-shall-know-construction-company/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Lara Verheyen, Jonas Doumen, Paul Van Eecke, et al.*2025 · 3 citations*
13. **[Probing Large Language Models for Scalar Adjective Lexical Semantics and Scalar Diversity Pragmatics](https://md.research.elamur.ai/free/en/papers/lin-2024-probing-large-language-models-scalar/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Fangru Lin, Daniel Altshuler, Janet B. Pierrehumbert*2024 · 3 citations*
14. **[HTE at ArAIEval Shared Task: Integrating Content Type Information in Binary Persuasive Technique Detection](https://md.research.elamur.ai/free/en/papers/hadjer-2023-hte-araieval-shared-task-integrating/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Khaldi Hadjer, Taqiy Bouklouha*2023 · 2 citations*
15. [**Exploiting the English Grammar Profile for L2 grammatical analysis with LLMs arXiv:2603.17171**Stefano Banno, Penny Karanasou, Kate Knill, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/banno-2026-exploiting-english-grammar-profile-l2/)
16. **[Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions](https://md.research.elamur.ai/free/en/papers/scivetti-2026-language-models-learn-constructional-semantics/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.*2026 · 1 citation*
17. **[Out-Of-Tune rather than Fine-Tuned: How Pre-training, Fine-tuning and Tokenization Affect Semantic Similarity in a Historical, Non-Standardized Domain](https://md.research.elamur.ai/free/en/papers/verkijk-2026-out-tune-rather-than-fine/) [Workshop on Language Models for Low-Resource Languages](https://md.research.elamur.ai/free/en/venues/loreslm/)**Stella Verkijk, Piek Vossen*2026 · 1 citation*
18. **[Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve Tasks](https://md.research.elamur.ai/free/en/papers/madabushi-2025-construction-grammar-evidence-how-llms/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Harish Tayyar Madabushi, Claire Bonial*2025 · 1 citation*
19. **[Constructions All the Way Up: From Sensory Experiences to Construction Grammars](https://md.research.elamur.ai/free/en/papers/ekila-2025-constructions-all-way-up-sensory/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Jérôme Botoko Ekila, Lara Verheyen, Katrien Beuls, et al.*2025 · 1 citation*
20. **[A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora](https://md.research.elamur.ai/free/en/papers/eecke-2026-method-learning-large-scale-computational/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Paul Van Eecke, Katrien Beuls*2026*
21. **[CxMP: A Linguistic Minimal-Pair Benchmark for Evaluating Constructional Understanding in Language Models](https://md.research.elamur.ai/free/en/papers/oba-2026-cxmp-linguistic-minimal-pair-benchmark/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Miyu Oba, Saku Sugawara*2026*
22. **[Elections go bananas: A First Large-scale Multilingual Study of Pluralia Tantum using LLMs](https://md.research.elamur.ai/free/en/papers/spaziani-2026-elections-go-bananas-first-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Elena Spaziani, Kamyar Zeinalipour, Pierluigi Cassotti, et al.*2026*
23. **[Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks](https://md.research.elamur.ai/free/en/papers/tsunokake-2026-is-micro-domain-adaptive-pre/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.*2026*

55 more citing papers of our library have no page here yet.

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