Token rankings from language models are unique and NP-hard to forge, providing the first polynomially unforgeable model signature.
and Turk-Browne, Nicholas B
3 Pith papers cite this work. Polarity classification is still indexing.
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MemPalace's high retrieval performance comes from verbatim storage and default vector database techniques, not its spatial metaphor, though it contributes low wake-up costs and deterministic offline operation.
EVAF and test-retest protocol show selective parametric consolidation of high-valence experiences in GPT-2 and TinyLlama while preserving factual retrieval.
citing papers explorer
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Token Rankings are Unforgeable Language Model Signatures
Token rankings from language models are unique and NP-hard to forge, providing the first polynomially unforgeable model signature.
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Spatial Metaphors for LLM Memory: A Critical Analysis of the MemPalace Architecture
MemPalace's high retrieval performance comes from verbatim storage and default vector database techniques, not its spatial metaphor, though it contributes low wake-up costs and deterministic offline operation.
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EVAF: A Test-Retest Protocol for Selective Parametric Consolidation
EVAF and test-retest protocol show selective parametric consolidation of high-valence experiences in GPT-2 and TinyLlama while preserving factual retrieval.