Papers with QRE

1 papers
Map of Encoders – Mapping Sentence Encoders using Quantum Relative Entropy (2026.acl-long)

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Challenge: a method to compare and visualise sentence encoders at scale is proposed . we map encoder LLMs using QRE-based feature vectors, which are then projected to 2D .
Approach: They propose a method to compare and visualise sentence encoders at scale by creating a map of encoder . they construct a QRE-based map of sentences covering 1101 publicly available sentence encoded sentences .
Outcome: The proposed method compares sentence encoders at scale by creating a map of encoder models . it shows that the map accurately reflects relationships between encoder and unit base encoder .

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