Who cites «Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words»

61 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

1. Do Diacritics Matter? Evaluating the Impact of Arabic Diacritics on Tokenization and LLM Benchmarks — our card · 2026 · Findings of the Association for Computational Linguistics: EACL 2026
2. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
3. AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation — 2025 · arXiv:2503.19693
4. Evaluating Morphological Compositional Generalization in Large Language Models — 2025 · NAACL 2025 (Albuquerque)
5. From Sm{\o}r-re-br{\o}d to Subwords: Training LLMs on Danish, One Morpheme at a Time — 2025 · arXiv:2504.01540
6. Towards the Machine Translation of Scientific Neologisms — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
7. Unlike ``Likely'''', ``Unlike'''' is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
8. Why do language models perform worse for morphologically complex languages? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
9. 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)
10. BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
11. BPE-knockout: Pruning Pre-existing BPE Tokenisers with Backwards-compatible Morphological Semi-supervision — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
12. Derivational Morphology Reveals Analogical Generalization in Large Language Models — 2024 · arXiv:2411.07990
13. DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
14. Greed is All You Need: An Evaluation of Tokenizer Inference Methods — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
15. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
16. LLMSegm: Surface-level Morphological Segmentation Using Large Language Model — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
17. Subword Segmentation in LLMs: Looking at Inflection and Consistency — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
18. The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations — 2024 · Transactions of the Association for Computational Linguistics
19. Time Machine GPT — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
20. Tokenization Is More Than Compression — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
21. Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
22. Analyzing Cognitive Plausibility of Subword Tokenization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
23. Biomedical Language Models are Robust to Sub-optimal Tokenization — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
24. CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
25. Counting the Bugs in ChatGPT''s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model — our card · 2023 · EMNLP 2023 (Singapore)
26. Effects of sub-word segmentation on performance of transformer language models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
27. Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
28. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
29. Incorporating Context into Subword Vocabularies — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
30. Language Model Tokenizers Introduce Unfairness Between Languages — 2023 · arXiv:2305.15425
31. Paloma: A Benchmark for Evaluating Language Model Fit — 2023 · arXiv:2312.10523
32. Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation — 2023 · Proceedings of the Ancient Language Processing Workshop
33. BECEL: Benchmark for Consistency Evaluation of Language Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
34. Improving Tokenisation by Alternative Treatment of Spaces — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
35. Morphological Processing of Low-Resource Languages: Where We Are and What''s Next — 2022 · Findings of ACL 2022 (Dublin)
36. Morphology Without Borders: Clause-Level Morphology — 2022 · Transactions of the Association for Computational Linguistics
37. Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
38. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP — 2021 · arXiv:2112.10508
39. bauwens-2025-grampa-subword-regularisation-skewing-uniform
40. bauwens-2026-rebpe-iteratively-improving-internal-structure
41. chowdhury-2026-benchmarking-byte-pair-encoding-tokenizers
42. chu-2022-signal-noise-exploring-meaning-encoded
43. church-2022-training-lexical-resources
44. dakota-2024-bits-pieces-investigating-effects-subwords
45. garcia-2024-sierra-morphological-evaluation-subwords-vocabulary-used
46. haslett-2025-how-much-semantic-information-is
47. haslett-2025-tokenization-changes-meaning-large-language
48. hudspeth-2024-latin-treebanks-review-evaluation-morphological
49. kazantseva-2024-fitting-square-peg-into-round
50. kiegeland-2026-proper-treatment-units-surprisal-theory
51. knigawka-2022-constructing-derivational-morphology-resource-transformer
52. lee-2026-morpheme-matters-morpheme-based-subword
53. li-2023-can-pretrained-language-models-derive
54. lin-2025-rethinking-vocabulary-augmentation-addressing-challenges
55. madasu-2022-what-do-large-language-models
56. nikolaev-2025-case-number-dissociation-finnish-noun
57. nzeyimana-2025-kinyacolbert-lexically-grounded-retrieval-model
58. oh-2025-incorporating-domain-knowledge-into-materials
59. smith-2024-word-boundary-information-isn-t
60. srivastava-2023-bertwich-extending-bert-s-capabilities
61. xu-2026-tokenization-morphological-fidelity-uralic-nlp

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