Who cites «Filtered Corpus Training (FiCT) Shows that Language Models Can Generalize from Indirect Evidence»
- Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNsConference on Empirical Methods in Natural Language Processing (EMNLP)Kanishka Misra, Kyle Mahowald2024 · 55 citations
- Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
- Do Construction Distributions Shape Formal Language Learning In German BabyLMs?Conference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Daniel Duran, Sina Zarrieß2025 · 13 citations
- Can Language Models Learn Typologically Implausible Languages?Transactions of the Association for Computational Linguistics (TACL)Tianyang Xu, Tatsuki Kuribayashi, Yohei Oseki, et al.2026 · 10 citations
- Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
- Manipulating language models' training data to study syntactic constraint learning: the case of English passivizationarXiv:2407.04593Cara Su-Yi Leong, Tal Linzen2024 · 8 citations
- Function Words as Statistical Cues for Language LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xiulin Yang, Heidi R. Getz, Ethan Gotlieb Wilcox2026 · 1 citation
- What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap DependenciesConference on Computational Natural Language Learning (CoNLL)Zhenghao Zhou, William Dai, Maya Viswanathan, et al.2026 · 1 citation
- Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networksClaire Hobbs, R. Thomas McCoy2026
- Cross-Modal Taxonomic Generalization in (Vision-) Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/patil-2024-filtered-corpus-training-fict-shows/cited-by/