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arXiv preprint arXiv:2310.18362 , year=

Sok: Memorization in general-purpose large language models , author= · 2023 · arXiv 2310.18362

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it
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fields

cs.CL 1 cs.LG 1

years

2026 2

verdicts

UNVERDICTED 2

representative citing papers

Probing Memorization of Tabular In-Context Learning

cs.LG · 2026-06-30 · unverdicted · novelty 7.0

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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Showing 2 of 2 citing papers.

  • Probing Memorization of Tabular In-Context Learning cs.LG · 2026-06-30 · unverdicted · none · ref 190

    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.

  • Output Vector Editing for Memorization Mitigation in Large Language Models cs.CL · 2026-06-17 · unverdicted · none · ref 3

    Output vector editing on MLP neurons suppresses memorization in LLMs up to 87.9% on 6831 sequences in OLMo-7B with a 2.7x gap over zero ablation, ensemble covering 96.5%.