--- title: "Who cites Why do language models perform — 52 citing papers" description: "52 papers of the Elamur Research library cite «Why do language models perform worse for morphologically complex languages?», found in their…" canonical: "https://research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Why do language models perform worse for…](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/) / cited by # 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?»](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/) 1. **[TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs](https://md.research.elamur.ai/free/en/papers/basar-2025-turblimp-turkish-benchmark-linguistic-minimal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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-Experts](https://md.research.elamur.ai/free/en/papers/zhang-2025-less-but-better-efficient-multilingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Surprisal](https://md.research.elamur.ai/free/en/papers/oh-2025-impact-token-granularity-predictive-power/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Byung-Doh Oh, William Schuler*2025 · 12 citations* 4. **[Anything Goes? A Crosslinguistic Study of (Im)possible Language Learning in LMs](https://md.research.elamur.ai/free/en/papers/yang-2025-anything-goes-crosslinguistic-study-im/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiulin Yang, Tatsuya Aoyama, Yuekun Yao, et al.*2025 · 8 citations* 5. **[Confounding Factors in Relating Model Performance to Morphology](https://md.research.elamur.ai/free/en/papers/poelman-2025-confounding-factors-relating-model-performance/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wessel Poelman, Thomas Bauwens, Miryam de Lhoneux*2025 · 6 citations* 6. **[Teaching Old Tokenizers New Words: Efficient Tokenizer Adaptation for Pretrained Models](https://md.research.elamur.ai/free/en/papers/purason-2026-teaching-old-tokenizers-new-words/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Taido Purason, Pavel Chizhov, Ivan P. Yamshchikov, et al.*2026 · 4 citations* 7. [**MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction/) 8. [**MoVoC: Morphology-Aware Subword Construction for Geez Script Languages arXiv:2509.08812**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2025-movoc-morphology-aware-subword-construction-geez/) 9. **[Biasless Language Models Learn Unnaturally: How LLMs Fail to Distinguish the Possible from the Impossible](https://md.research.elamur.ai/free/en/papers/ziv-2026-biasless-language-models-learn-unnaturally/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Imry Ziv, Nur Lan, Emmanuel Chemla*2026 · 3 citations* 10. **[Form and Meaning in Intrinsic Multilingual Evaluations](https://md.research.elamur.ai/free/en/papers/poelman-2026-form-meaning-intrinsic-multilingual-evaluations/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Wessel Poelman, Miryam de Lhoneux*2026 · 1 citation* 11. [**Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs arXiv:2603.15773**Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-borders-evaluating-root-pattern/) 12. [**Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs**Yara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-without-borders-evaluating-root/) 13. **[Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic Alphabet](https://md.research.elamur.ai/free/en/papers/miletic-2026-phonemes-rescue-multilingual-tokenization-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Milan Miletić, Julie Kallini, Ekaterina Shutova*2026 · 1 citation* 14. [**ARAFA: An LLM-Generated Arabic Fact-Checking Dataset arXiv:2609.25833**Christophe Khalil, Shady Elbassuoni, Rida Assaf*2026*](https://md.research.elamur.ai/free/en/papers/khalil-2026-arafa-llm-generated-arabic-fact/) 15. **[Vocabulary Shapes Cross-Lingual Variation of Word-Order Learnability in Language Models](https://md.research.elamur.ai/free/en/papers/martins-2026-vocabulary-shapes-cross-lingual-variation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jonas Mayer Martins, Jaap Jumelet, Viola Priesemann, et al.*2026* 16. **[What Kind of Language is Easy to Language-Model Under Curriculum Learning?](https://md.research.elamur.ai/free/en/papers/naggar-2026-what-kind-language-is-easy/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Nadine El-Naggar, Tatsuki Kuribayashi, Ted Briscoe*2026* 36 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/arnett-2025-why-do-language-models-perform/) — Why do language models perform worse for morphologically complex languages?