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. Benchmarking Byte-Pair Encoding Tokenizers on Different Languages with Bits per Byte — 2026 · Proceedings of the 1st Workshop on Multilinguality in the Era of Large Language Models (MeLLM 2026)
2. 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
3. Morpheme Matters: Morpheme-Based Subword Tokenization for Korean Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
4. On the Proper Treatment of Units in Surprisal Theory — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
5. ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
6. Tokenization and Morphological Fidelity in Uralic NLP: A Cross-Lingual Evaluation — 2026 · arXiv:2602.04241 · Proceedings of the Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026)
7. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector Arithmetic — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
8. AdaptiVocab: Enhancing LLM Efficiency in Focused Domains through Lightweight Vocabulary Adaptation — 2025 · arXiv:2503.19693
9. Case–Number Dissociation in Finnish Noun Embeddings:fastText vs. BERT Layer Effects — 2025 · Proceedings of the 10th International Workshop on Computational Linguistics for Uralic Languages
10. Evaluating Morphological Compositional Generalization in Large Language Models — 2025 · NAACL 2025 (Albuquerque)
11. From Sm{\o}r-re-br{\o}d to Subwords: Training LLMs on Danish, One Morpheme at a Time — 2025 · arXiv:2504.01540
12. GRaMPa: Subword Regularisation by Skewing Uniform Segmentation Distributions with an Efficient Path-counting Markov Model — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
13. How Much Semantic Information is Available in Large Language Model Tokens? — 2025 · Transactions of the Association for Computational Linguistics
14. Incorporating Domain Knowledge into Materials Tokenization — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
15. KinyaColBERT: A Lexically Grounded Retrieval Model for Low-Resource Retrieval-Augmented Generation — 2025 · arXiv:2507.03241
16. Rethinking Vocabulary Augmentation: Addressing the Challenges of Low-Resource Languages in Multilingual Models — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
17. Tokenization Changes Meaning in Large Language Models: Evidence from Chinese — 2025 · Computational Linguistics
18. Towards the Machine Translation of Scientific Neologisms — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
19. Unlike ``Likely'''', ``Unlike'''' is Unlikely: BPE-based Segmentation hurts Morphological Derivations in LLMs — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
20. Why do language models perform worse for morphologically complex languages? — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
21. 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)
22. BPE Gets Picky: Efficient Vocabulary Refinement During Tokenizer Training — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
23. 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)
24. Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
25. Derivational Morphology Reveals Analogical Generalization in Large Language Models — 2024 · arXiv:2411.07990
26. 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)
27. Fitting a Square Peg into a Round Hole: Creating a UniMorph dataset of Kanien''kéha Verbs — 2024 · Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages
28. 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)
29. HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew — our card · 2024 · Findings of the Association for Computational Linguistics: ACL 2024
30. 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)
31. Latin Treebanks in Review: An Evaluation of Morphological Tagging Across Time — 2024 · Proceedings of the 1st Workshop on Machine Learning for Ancient Languages (ML4AL 2024)
32. Morphological evaluation of subwords vocabulary used by BETO language model — 2024 · arXiv:2410.02283
33. Subword Segmentation in LLMs: Looking at Inflection and Consistency — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
34. The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations — 2024 · Transactions of the Association for Computational Linguistics
35. Time Machine GPT — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
36. Tokenization Is More Than Compression — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
37. Unpacking Tokenization: Evaluating Text Compression and its Correlation with Model Performance — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
38. Word Boundary Information Isn't Useful for Encoder Language Models — 2024 · Proceedings of the 9th Workshop on Representation Learning for NLP (RepL4NLP-2024)
39. Analyzing Cognitive Plausibility of Subword Tokenization — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
40. BERTwich: Extending BERT''s Capabilities to Model Dialectal and Noisy Text — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
41. Biomedical Language Models are Robust to Sub-optimal Tokenization — 2023 · Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks
42. Can Pretrained Language Models Derive Correct Semantics from Corrupt Subwords under Noise? — 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)
43. CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
44. 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)
45. Effects of sub-word segmentation on performance of transformer language models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
46. Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
47. Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
48. Incorporating Context into Subword Vocabularies — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
49. Language Model Tokenizers Introduce Unfairness Between Languages — 2023 · arXiv:2305.15425
50. Paloma: A Benchmark for Evaluating Language Model Fit — 2023 · arXiv:2312.10523
51. Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation — 2023 · Proceedings of the Ancient Language Processing Workshop
52. BECEL: Benchmark for Consistency Evaluation of Language Models — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
53. Constructing a Derivational Morphology Resource with Transformer Morpheme Segmentation — 2022 · Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022)
54. Improving Tokenisation by Alternative Treatment of Spaces — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
55. Morphological Processing of Low-Resource Languages: Where We Are and What''s Next — 2022 · Findings of ACL 2022 (Dublin)
56. Morphology Without Borders: Clause-Level Morphology — 2022 · Transactions of the Association for Computational Linguistics
57. Signal in Noise: Exploring Meaning Encoded in Random Character Sequences with Character-Aware Language Models — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
58. Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
59. Training on Lexical Resources — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
60. What do Large Language Models Learn beyond Language? — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
61. Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP — 2021 · arXiv:2112.10508