Research map / Label-efficient and robust learning / Recognition and long-tail
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
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
- Stable Anisotropic Regularization (ICLR 2024 · similarity 0.90)
- Token Embeddings Violate the Manifold Hypothesis (NeurIPS 2025 · similarity 0.87)
- Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models (NeurIPS 2024 · similarity 0.86)
- From Topology to Retrieval: Decoding Embedding Spaces with Unified Signatures (NeurIPS 2026 · similarity 0.86)
- Less is More: Local Intrinsic Dimensions of Contextual Language Models (NeurIPS 2025 · similarity 0.86)
- Contextures: Representations from Contexts (ICML 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.