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

1. An LLM Investigation into Inherent and Structural Case Representation: a German Case Study — 2026 · Proceedings of the Society for Computation in Linguistics 2026
2. Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models — our card · 2026 · arXiv:2603.16718
3. Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans — 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 — 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 — 2026 · Dialogue & Discourse
6. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs — 2026 · arXiv:2603.15773
7. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs — our card · 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
8. Rethinking Linguistic Tests for Large Language Models: Airplanes Aren''t Birds — 2026 · Northern European Journal of Language Technology
9. Teaching and Critiquing Conceptualization and Operationalization in NLP — 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 — 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 — our card · 2026 · arXiv:2609.10153
12. A Morpheme-Aware Child-Inspired Language Model — 2025 · Proceedings of the First BabyLM Workshop
13. Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development — 2025 · Proceedings of the First BabyLM Workshop
14. Do Syntactic Categories Help in Developmentally Motivated Curriculum Learning for Language Models? — 2025 · Proceedings of the First BabyLM Workshop
15. Evaluating Morphological Compositional Generalization in Large Language Models — 2025 · NAACL 2025 (Albuquerque)
16. Findings of the Third BabyLM Challenge: Accelerating Language Modeling Research with Cognitively Plausible Data — 2025 · Proceedings of the First BabyLM Workshop
17. Frequency matters: Modeling irregular morphological patterns in Spanish with Transformers — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
18. Linguistic Units as Tokens: Intrinsic and Extrinsic Evaluation with BabyLM — 2025 · Proceedings of the First BabyLM Workshop
19. Making Sense of Korean Sentences: A Comprehensive Evaluation of LLMs through KoSEnd Dataset — 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 — 2025 · Proceedings of the First BabyLM Workshop
21. Model Merging to Maintain Language-Only Performance in Developmentally Plausible Multimodal Models — 2025 · Proceedings of the First BabyLM Workshop
22. Once Upon a Time: Interactive Learning for Storytelling with Small Language Models — 2025 · Proceedings of the First BabyLM Workshop
23. Pretraining Language Models with LoRA and Artificial Languages — 2025 · Proceedings of the First BabyLM Workshop
24. Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction — 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 — 2025 · Proceedings of the First BabyLM Workshop
26. UNVEILING: What Makes Linguistics Olympiad Puzzles Tricky for LLMs? — 2025 · arXiv:2508.11260
27. Unlike ``Likely'''', ``Unlike'''' is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
28. (Chat)GPT v BERT Dawn of Justice for Semantic Change Detection — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
29. Analyzing the Understanding of Morphologically Complex Words in Large Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
30. CoELM: Construction-Enhanced Language Modeling — 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 — 2024 · arXiv:2411.07990
32. LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
33. LLMs' morphological analyses of complex FST-generated Finnish words — 2024 · arXiv:2407.08269
34. Morphology Matters: Probing the Cross-linguistic Morphological Generalization Abilities of Large Language Models through a Wug Test — 2024 · Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics
35. Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers — 2024 · arXiv:2404.04925