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Home/Glossary/Cross-Encoder
AI Glossary Term

What does “Cross-Encoder” mean?

Definition

A model that scores a query and document together in one pass for high-accuracy relevance judgments.

Related terms

Pass@k
A code-evaluation metric measuring the chance that at least one of k generated samples passes the tests.
Calibration
How well a model's confidence scores match actual correctness probabilities.
Classification
A task where a model assigns an input to one or more predefined categories.
Cross-Entropy Loss
A common objective function used to train classification models by penalizing incorrect probabilities.
API (Application Programming Interface)
A structured way for one software system to send requests to and receive responses from another system.
Domain Adaptation
Methods that transfer a model trained in one domain to perform better in another domain.

Learn more in our free guides

AutoencodersCross-ValidationSparse Autoencoders for InterpretabilityCross-Encoders vs Bi-Encoders

See also

Hybrid SearchBi-EncoderRerankerLLM-as-JudgeHNSWANN (Approximate Nearest Neighbor)MMLUSentencePiece
PreviousHybrid SearchNextBi-Encoder
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