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

1. A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
2. Causal Interventions Reveal Typologically Organized Syntactic Mechanisms in Multilingual Language Models — 2026 · arXiv:2608.28924
3. Different types of syntactic agreement recruit the same units within large language models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
4. Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints? — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
5. Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
6. For What Reason? Interpreting Models' Encoding of Causation and Antithesis — 2026 · Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue
7. Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
8. Probing the Attention Representation of Filler-Gap Dependency in Transformers — 2026 · Proceedings of the Society for Computation in Linguistics 2026
9. Strategic Dialogue Assessment: The Crooked Path to Innocence — 2026 · Dialogue & Discourse
10. What Exactly do Children Receive in Language Acquisition? A Case Study on CHILDES with Automated Detection of Filler-Gap Dependencies — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
11. When Context Misleads: Surprisal, Energy and Attention Entropy as Metrics of Coherence Illusions in LLMs — 2026 · arXiv:2606.21203