arXiv (All)
open access
Measuring Data Diversity with Embeddings: A Taxonomy and Benchmark for Diversity Measures
Diversity is a critical property of text corpora, with direct implications for training data curation, test set design, and model generalization. However, its measurement remains fragmented and poorly understood. Existing embedding-based diversity measures vary widely in how they are computed and ca
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Evaluating the Diversity of AI-Generated Content with Diversity Profiles#463274
- Coherence-Aware Distributional Evaluation of Open-Ended Text Generation#1119313
- HyperSU: Corpus-Driven Semantic-Unit Hypergraph for Retrieval-Augmented Generation#1117485
- SEPAL: Separated Expert Pairs with Answer-Level Fusion for Reliable LLM Collaboration#1144612
- Polyrating: A Cost-Effective and Bias-Aware Rating System for LLM Evaluation#1327200
Record · ID 1389834
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive