---
title: "Who cites Counting the Bugs in ChatGPT's Wugs: A…"
description: "The papers of the Elamur Research library that cite «Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities…"
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---
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# Who cites «Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model»

35 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/)

1. [An LLM Investigation into Inherent and Structural Case Representation: a German Case Study](https://aclanthology.org/2026.scil-main.8/) *— 2026 · Proceedings of the Society for Computation in Linguistics 2026*
2. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
3. [Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans](https://aclanthology.org/2026.cmcl-1.7/) *— 2026 · Proceedings of the 15th Workshop on Cognitive Modeling and Computational Linguistics*
4. [From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media](https://aclanthology.org/2026.lchange-1.14/) *— 2026 · The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange'26)*
5. [Implicit Causality-biases in humans and LLMs as a tool for benchmarking LLM discourse capabilities](https://journals.uic.edu/ojs/index.php/dad/article/view/14163) *— 2026 · Dialogue & Discourse*
6. [Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs](https://arxiv.org/abs/2603.15773) *— 2026 · arXiv:2603.15773*
7. [Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs](https://md.research.elamur.ai/free/en/papers/lingbulk-2026-alakeel-morphemes-without-borders-evaluating-root/) *— our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
8. [Rethinking Linguistic Tests for Large Language Models: Airplanes Aren”t Birds](https://nejlt.ep.liu.se/article/view/6463) *— 2026 · Northern European Journal of Language Technology*
9. [Teaching and Critiquing Conceptualization and Operationalization in NLP](https://aclanthology.org/2026.teachingnlp-1.11/) *— 2026 · Proceedings of the Seventh Workshop on Teaching Natural Language Processing (TeachNLP 2026)*
10. [Understanding or Memorizing? A Case Study of German Definite Articles in Language Models](https://aclanthology.org/2026.acl-long.436/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models](https://md.research.elamur.ai/free/en/papers/langstream-2026-reda-yallamorph-benchmark-evaluating-arabic-morphological/) *— our card · 2026 · arXiv:2609.10153*
12. [A Morpheme-Aware Child-Inspired Language Model](https://aclanthology.org/2025.babylm-main.21/) *— 2025 · Proceedings of the First BabyLM Workshop*
13. [Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development](https://aclanthology.org/2025.babylm-main.36/) *— 2025 · Proceedings of the First BabyLM Workshop*
14. [Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models?](https://aclanthology.org/2025.babylm-main.22/) *— 2025 · Proceedings of the First BabyLM Workshop*
15. [Evaluating Morphological Compositional Generalization in Large Language Models](https://aclanthology.org/2025.naacl-long.59/) *— 2025 · NAACL 2025 (Albuquerque)*
16. [Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data](https://aclanthology.org/2025.babylm-main.28/) *— 2025 · Proceedings of the First BabyLM Workshop*
17. [Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers](https://aclanthology.org/2025.findings-acl.230/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
18. [Linguistic Units as Tokens: Intrinsic and Extrinsic Evaluation with BabyLM](https://aclanthology.org/2025.babylm-main.35/) *— 2025 · Proceedings of the First BabyLM Workshop*
19. [Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset](https://aclanthology.org/2025.acl-srw.29/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
20. [Masked Diffusion Language Models with Frequency-Informed Training](https://aclanthology.org/2025.babylm-main.38/) *— 2025 · Proceedings of the First BabyLM Workshop*
21. [Model Merging to Maintain Language-Only Performance in Developmentally Plausible Multimodal Models](https://aclanthology.org/2025.babylm-main.5/) *— 2025 · Proceedings of the First BabyLM Workshop*
22. [Once Upon a Time: Interactive Learning for Storytelling with Small Language Models](https://aclanthology.org/2025.babylm-main.32/) *— 2025 · Proceedings of the First BabyLM Workshop*
23. [Pretraining Language Models with LoRA and Artificial Languages](https://aclanthology.org/2025.babylm-main.37/) *— 2025 · Proceedings of the First BabyLM Workshop*
24. [Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction](https://aclanthology.org/2025.acl-long.1432/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [RecombiText: Compositional Data Augmentation for Enhancing LLM Pre-Training Datasets in Low-Resource Scenarios](https://aclanthology.org/2025.babylm-main.40/) *— 2025 · Proceedings of the First BabyLM Workshop*
26. [UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs?](https://arxiv.org/abs/2508.11260) *— 2025 · arXiv:2508.11260*
27. [Unlike “Likely”, “Unlike” is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs](https://aclanthology.org/2025.coling-main.348/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
28. [(Chat)GPT v BERT Dawn of Justice for Semantic Change Detection](https://aclanthology.org/2024.findings-eacl.29/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
29. [Analyzing the Understanding of Morphologically Complex Words in Large Language Models](https://aclanthology.org/2024.lrec-main.90/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
30. [CoELM: Construction-Enhanced Language Modeling](https://aclanthology.org/2024.acl-long.542/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Derivational Morphology Reveals Analogical Generalization in Large Language Models](https://arxiv.org/abs/2411.07990) *— 2024 · arXiv:2411.07990*
32. [LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback](https://aclanthology.org/2024.findings-acl.488/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
33. [LLMs' morphological analyses of complex FST-generated Finnish words](https://arxiv.org/abs/2407.08269) *— 2024 · arXiv:2407.08269*
34. [Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test](https://aclanthology.org/2024.cmcl-1.15/) *— 2024 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics*
35. [Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://arxiv.org/abs/2404.04925) *— 2024 · arXiv:2404.04925*