🔗 Who cites «Why do language models perform worse for morphologically complex languages?»

52 papers of our library cite it (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← back to «Why do language models perform worse for morphologically complex languages?»

1. TurBLiMP: A Turkish Benchmark of Linguistic Minimal PairsConference on Empirical Methods in Natural Language Processing (EMNLP)Ezgi Başar, Francesca Padovani, Jaap Jumelet, et al.2025 · 14 citations
2. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
3. The Impact of Token Granularity on the Predictive Power of Language Model SurprisalAnnual Meeting of the Association for Computational Linguistics (ACL)Byung-Doh Oh, William Schuler2025 · 12 citations
4. Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiulin Yang, Tatsuya Aoyama, Yuekun Yao, et al.2025 · 8 citations
5. Confounding Factors in Relating Model Performance to MorphologyConference on Empirical Methods in Natural Language Processing (EMNLP)Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux2025 · 6 citations
6. Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained ModelsFindings of the Association for Computational LinguisticsTaido Purason, Pavel Chizhov, Ivan P. Yamshchikov, et al.2026 · 4 citations
7. MoVoC: Morphology-Aware Subword Construction for Ge'ez Script LanguagesHailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl2025 · 4 citations
8. MoVoC: Morphology-Aware Subword Construction for Geez Script LanguagesarXiv:2509.08812Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl2025 · 4 citations
9. Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the ImpossibleConference of the European Chapter of the Association for Computational Linguistics (EACL)Imry Ziv, Nur Lan, Emmanuel Chemla2026 · 3 citations
10. Form and Meaning in Intrinsic Multilingual EvaluationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Wessel Poelman, Miryam de Lhoneux2026 · 1 citation
11. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMsarXiv:2603.15773Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
12. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMsYara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
13. Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic AlphabetAnnual Meeting of the Association for Computational Linguistics (ACL)Milan Miletić, Julie Kallini, Ekaterina Shutova2026 · 1 citation
14. ARAFA: An LLM-Generated Arabic Fact-Checking DatasetarXiv:2609.25833Christophe Khalil, Shady Elbassuoni, Rida Assaf2026
15. Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, et al.2026
16. What Kind of Language is Easy to Language-Model Under Curriculum Learning?Workshop on Cognitive Modeling and Computational Linguistics (CMCL)Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe2026

36 more papers of our library cite it; they have no page here yet.

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