Who cites «Causal Interventions Reveal Shared Structure Across English Filler–Gap Constructions»
- A Method for Learning Large-Scale Computational Construction Grammars from Semantically Annotated Corpora — 2026 · Proceedings of the 30th Conference on Computational Natural Language Learning
- 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)
- Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
- Probing the Attention Representation of Filler-Gap Dependency in Transformers — 2026 · Proceedings of the Society for Computation in Linguistics 2026
- 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
- bhattacharyya-2026-what-reason-interpreting-models-encoding
- boguraev-2026-causal-interventions-reveal-typologically-organized
- desai-2026-filling-mechanisms-how-do-lms
- kumon-2026-fine-grained-analysis-shared-syntactic
- takmaz-2026-context-misleads-surprisal-energy-attention
- zheng-2026-strategic-dialogue-assessment-crooked-path
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