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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.mova.elamur.ai/free/en/docs/papers/lex-2023-weissweiler-chatgpt-wugs-morphology/)

1. [Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-adel-arabic-morphosyntactic-tagging-dependency-parsing/) *— our card · 2026 · arXiv:2603.16718*
2. [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*
3. [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)*
4. [Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs](https://arxiv.org/abs/2603.15773) *— 2026 · arXiv:2603.15773*
5. [Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2026-alakeel-morphemes-without-borders-evaluating-root/) *— our card · 2026*
6. [YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2026-reda-yallamorph-benchmark-evaluating-arabic-morphological/) *— our card · 2026 · arXiv:2609.10153*
7. [A Morpheme-Aware Child-Inspired Language Model](https://aclanthology.org/2025.babylm-main.21/) *— 2025 · Proceedings of the First BabyLM Workshop*
8. [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*
9. [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*
10. [Evaluating Morphological Compositional Generalization in Large Language Models](https://aclanthology.org/2025.naacl-long.59/) *— 2025 · NAACL 2025 (Albuquerque)*
11. [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*
12. [Linguistic Units as Tokens: Intrinsic and Extrinsic Evaluation with BabyLM](https://aclanthology.org/2025.babylm-main.35/) *— 2025 · Proceedings of the First BabyLM Workshop*
13. [Masked Diffusion Language Models with Frequency-Informed Training](https://aclanthology.org/2025.babylm-main.38/) *— 2025 · Proceedings of the First BabyLM Workshop*
14. [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*
15. [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*
16. [Pretraining Language Models with LoRA and Artificial Languages](https://aclanthology.org/2025.babylm-main.37/) *— 2025 · Proceedings of the First BabyLM Workshop*
17. [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*
18. [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*
19. [(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*
20. [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)*
21. [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)*
22. [Derivational Morphology Reveals Analogical Generalization in Large Language Models](https://arxiv.org/abs/2411.07990) *— 2024 · arXiv:2411.07990*
23. [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*
24. [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*
25. [Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://arxiv.org/abs/2404.04925) *— 2024 · arXiv:2404.04925*
26. callegari-2026-rethinking-linguistic-tests-large-language
27. carslaw-2026-llm-investigation-into-inherent-structural
28. choudhary-2025-unveiling-makes-linguistics-olympiad-puzzles
29. drechsel-2026-understanding-or-memorizing-case-study
30. gautam-2026-teaching-critiquing-conceptualization-operationalization-nlp
31. kankowski-2026-implicit-causality-biases-humans-llms
32. moisio-2024-llms-morphological-analyses-complex-fst
33. naik-2025-programming-example-meets-historical-linguistics
34. ramarao-2025-frequency-matters-modeling-irregular-morphological
35. yu-2025-making-sense-korean-sentences-comprehensive
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