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Home
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Glossary
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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
Autoencoders
Cross-Validation
Sparse Autoencoders for Interpretability
Cross-Encoders vs Bi-Encoders
See also
Hybrid Search
Bi-Encoder
Reranker
LLM-as-Judge
HNSW
ANN (Approximate Nearest Neighbor)
MMLU
SentencePiece
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