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# Who cites «Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions»

11 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/boguraev-2025-causal-interventions-reveal-shared-structure/)

1. [A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora](https://aclanthology.org/2026.conll-main.13/) *— 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning*
2. [Different types of syntactic agreement recruit the same units within large language models](https://aclanthology.org/2026.acl-long.7/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework](https://aclanthology.org/2026.lrec-1.885/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
4. [Probing the Attention Representation of Filler-Gap Dependency in Transformers](https://aclanthology.org/2026.scil-main.23/) *— 2026 · Proceedings of the Society for Computation in Linguistics 2026*
5. [What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies](https://aclanthology.org/2026.conll-main.42/) *— 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning*
6. bhattacharyya-2026-what-reason-interpreting-models-encoding
7. boguraev-2026-causal-interventions-reveal-typologically-organized
8. desai-2026-filling-mechanisms-how-do-lms
9. kumon-2026-fine-grained-analysis-shared-syntactic
10. takmaz-2026-context-misleads-surprisal-energy-attention
11. zheng-2026-strategic-dialogue-assessment-crooked-path
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