Calhoun
metadata only
AN EMPIRICAL META-EVALUATION OF LANGUAGE MODEL EVALUATION METHODS FOR SYSTEMS ENGINEERING USING DISTRACTOR SENSITIVITY AND CONSENSUS JUDGING
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
- Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design#673593
- EvalDetectBench: A Benchmark for Measuring Evaluation Awareness in Frontier Language Models#822052
- Steering Language Model Goals with Value Transplant#1119129
- The Double Measurement Confound in Agent Benchmarks: De-Scaffolding, Ground-Truth Scoring, and Reliability Beyond the Mean#986988
- CoTAL: Human-in-the-Loop Prompt Engineering for Generalizable Formative Assessment Scoring and Feedback#1082939
Record · ID 657675
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