---
title: "Who cites Filtered Corpus Training (FiCT) — 18 citing papers"
description: "18 papers of the Elamur Research library cite «Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect…"
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---
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# Who cites «Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence»

18 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «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/)

1. **[Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs](https://md.research.elamur.ai/free/en/papers/misra-2024-language-models-learn-rare-phenomena/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kanishka Misra, Kyle Mahowald*2024 · 55 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. **[Do Construction Distributions Shape Formal Language Learning In German BabyLMs?](https://md.research.elamur.ai/free/en/papers/bunzeck-2025-do-construction-distributions-shape-formal/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Bastian Bunzeck, Daniel Duran, Sina Zarrieß*2025 · 13 citations*
4. **[Can Language Models Learn Typologically Implausible Languages?](https://md.research.elamur.ai/free/en/papers/xu-2026-can-language-models-learn-typologically/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.*2026 · 10 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. [**Manipulating language models' training data to study syntactic constraint learning: the case of English passivization arXiv:2407.04593**Cara Su-Yi Leong, Tal Linzen*2024 · 8 citations*](https://md.research.elamur.ai/free/en/papers/leong-2024-manipulating-language-models-training-data/)
7. **[Function Words as Statistical Cues for Language Learning](https://md.research.elamur.ai/free/en/papers/yang-2026-function-words-as-statistical-cues/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiulin Yang, Heidi R. Getz, Ethan Gotlieb Wilcox*2026 · 1 citation*
8. **[What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-exactly-do-children-receive/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Zhenghao Zhou, William Dai, Maya Viswanathan, et al.*2026 · 1 citation*
9. [**Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks**Claire Hobbs, R. Thomas McCoy*2026*](https://md.research.elamur.ai/free/en/papers/hobbs-2026-collocational-bootstrapping-hypothesis-about-learning/)
10. **[Cross-Modal Taxonomic Generalization in (Vision-) Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-cross-modal-taxonomic-generalization-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/patil-2024-filtered-corpus-training-fict-shows/) — Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence