Research map / Large language models / Language, safety and interpretability
Permutation Equivariant Models for Compositional Generalization in Language
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Learning to Recombine and Resample Data For Compositional Generalization (ICLR 2021 · similarity 0.88)
- Hierarchical Poset Decoding for Compositional Generalization in Language (NeurIPS 2020 · similarity 0.88)
- When does compositional structure yield compositional generalization? A kernel theory. (ICLR 2025 · similarity 0.86)
- Neural-Symbolic Recursive Machine for Systematic Generalization (ICLR 2024 · similarity 0.86)
- How Do Language Models Compose Functions? (NeurIPS 2026 · similarity 0.85)
- Consistency of Compositional Generalization Across Multiple Levels (AAAI 2025 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
