A new probing framework detects moderate parametric memorization signals in tabular in-context learning models under single-task fine-tuning, strongest on low-cardinality tasks, but signals largely disappear under realistic training.
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Pith papers citing it
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
γ-BIFR unifies DP-λCGD and BISR into a single banded inverse factorization that improves RMSE and theoretical guarantees in the low-bandwidth regime for multi-epoch private learning.
citing papers explorer
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Probing Memorization of Tabular In-Context Learning
A new probing framework detects moderate parametric memorization signals in tabular in-context learning models under single-task fine-tuning, strongest on low-cardinality tasks, but signals largely disappear under realistic training.
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Beyond Square Roots: Explicit Memory-Efficient Factorization for Multi-Epoch Private Learning
γ-BIFR unifies DP-λCGD and BISR into a single banded inverse factorization that improves RMSE and theoretical guarantees in the low-bandwidth regime for multi-epoch private learning.