DOAJ
open access
CC BY 4.0
Beyond Accuracy: Cross-Linguistic Equity and Socio-Technical Dimensions of Large Language Models
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
- When Linguistic and Internal Confidence Diverge in Large Language Models#618613
- Large language models underestimate and partly misrepresent cultural variation in everyday norms#1105455
- Optimizing Large Language Models: Metrics, Energy Efficiency, and Case Study Insights#139146
- Assessing the Validity of Large Language Models as Synthetic Survey Respondents: Autonomous Completion, Internal Consistency, and Demographic Fidelity#414642
- The Path Matters: Evaluating Small Language Models Beyond Answer Accuracy in KGQA#1064213
Record · ID 19968
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