ODU Digital Commons
metadata only
Improving Fairness on Semantic Segmentation Using Large Language Models
artificial-intelligence-aiartificial-intelligence-and-roboticscomputer-engineeringcybersecuritymachine-learning-systems
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
- Auditing Cross-Lingual Fairness in Language Model Watermarking#471182
- Measuring Obedience to Authority Across Large Language Models with the Milgram Paradigm#630170
- From Fair Representation to Just Recognition in Generative AI#971852
- Large Language Models are not Fair Evaluators#16600
- A Watermark for Large Language Models#16582
Record · ID 169459
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