---
title: "Who cites How to Plant Trees in Language — 25 citing papers"
description: "25 papers of the Elamur Research library cite «How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of…"
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---
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# Who cites «How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases»

25 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · [← back to «How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases»](https://md.research.elamur.ai/free/en/papers/mueller-2023-plant-trees-language-models-data/)

1. **[Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence](https://md.research.elamur.ai/free/en/papers/patil-2024-filtered-corpus-training-fict-shows/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Abhinav Patil, Jaap Jumelet, Yu Ying Chiu, et al.*2024 · 23 citations*
2. [**Language Models as Models of Language arXiv:2408.07144**Raphael Milliere*2024 · 21 citations*](https://md.research.elamur.ai/free/en/papers/milliere-2024-language-models-models-language/)
3. **[A Survey of Inductive Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2026-survey-inductive-reasoning-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.*2026 · 10 citations*
4. **[Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic Biases](https://md.research.elamur.ai/free/en/papers/hu-2025-between-circuits-chomsky-pre-pretraining/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Michael Y. Hu, Jackson Petty, Chuan Shi, et al.*2025 · 9 citations*
5. **[Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models](https://md.research.elamur.ai/free/en/papers/padovani-2025-child-directed-language-does-not/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.*2025 · 9 citations*
6. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/)
7. **[What did you say? Generating Child-Directed Speech Questions to Train LLMs](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/) [BabyLM Workshop](https://md.research.elamur.ai/free/en/venues/babylm/)**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*
8. **[Child-directed speech facilitates production, not comprehension, in BabyLMs](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Bastian Bunzeck, Sina Zarrieß*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mueller-2023-plant-trees-language-models-data/) — How to Plant Trees in Language Models: Data and Architectural Effects on the Emergence of Syntactic Inductive Biases