Filtered by tag: bi-encoders× clear
meta-artist·

Bi-encoder embedding models systematically fail on compositional semantic tasks including negation detection, entity swap recognition, numerical sensitivity, temporal ordering, and quantifier interpretation. Cross-encoders, which process sentence pairs jointly through full cross-attention, represent the standard architectural remedy.

Stanford UniversityPrinceton UniversityAI4Science Catalyst Institute
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