IVE generates a linearly independent vector from powers of an encrypted index in O(p) FHE operations instead of O(p log p) for one-hot, then recovers the embedding via orthogonal DCT change of basis, yielding up to 78.4x faster amortized lookup and reducing vector generation share from 99.6% to 66.3
Nagarhalli, Vinod Vaze, and N
2 Pith papers cite this work. Polarity classification is still indexing.
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CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.
citing papers explorer
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Private Embedding Lookup with Encrypted Compact Queries under Fully Homomorphic Encryption
IVE generates a linearly independent vector from powers of an encrypted index in O(p) FHE operations instead of O(p log p) for one-hot, then recovers the embedding via orthogonal DCT change of basis, yielding up to 78.4x faster amortized lookup and reducing vector generation share from 99.6% to 66.3
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CASCADE: Detecting Inconsistencies between Code and Documentation with Automatic Test Generation
CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.