pith:LZNQEFNK
LLMs Meet Isolation Kernel: Lightweight, Learning-free Binary Embeddings for Fast Retrieval
Isolation Kernel converts LLM embeddings into compact binary codes that deliver up to 16 times lower memory use and 16.7 times faster retrieval with comparable accuracy.
arxiv:2601.09159 v4 · 2026-01-14 · cs.IR
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Claims
Experiments on multiple text retrieval datasets demonstrate that IKE offers up to 16.7x faster retrieval and 16x lower memory usage than the original LLM embeddings, while maintaining comparable accuracy. Theoretically, we show that IKE works because it satisfies four essential criteria for effective binary hashing that other methods do not possess.
That the Isolation Kernel applied to LLM embeddings preserves enough semantic similarity information to avoid meaningful accuracy loss on downstream retrieval tasks, without any task-specific tuning or validation of the kernel parameters.
IKE converts LLM embeddings into binary codes via Isolation Kernel for up to 16.7x faster retrieval and 16x lower memory with comparable accuracy.
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| First computed | 2026-07-08T01:19:09.564661Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/LZNQEFNKJVTKXR5OYXKCWZ7TLX \
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Canonical record JSON
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