ek-dev-architecture

To build a knowledge evaluation system, use a unified architectural framework that integrates reference-based and reference-free evaluation strategies. It provides a two-layer data model to standardize the development of metrics, validators, and calibration engines.

Reference-based and reference-free evaluation differ by their reliance on ground truth data. The framework defines a 2x2 evaluation matrix mapping these strategies across instance and system levels within a unified two-layer data model.

To integrate a custom OCR engine, use the architectural index to identify the correct module, protocol, and dependency requirements. This ensures the engine aligns with the two-layer data model and evaluation matrix.

Implement a new metric by mapping it to the correct module within the two-layer data model. The framework guides you to the corresponding research report to ensure the metric is built on the correct theoretical foundation.

Yes, the ek framework architecture enforces strict dependency and licensing discipline. This prevents architectural misalignment and ensures consistent implementation of evaluation systems across different modules.

You need a two-layer data model when developing both instance-level and system-level evaluations. It facilitates the standardized development of metrics and validators by unifying reference-based and reference-free strategies.