Papers with large-scale multilingual re-evaluation of PII leakage

1 papers
Do LLMs Really Memorize Personally Identifiable Information? Revisiting PII Leakage with a Cue-Controlled Memorization Framework (2026.acl-long)

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Challenge: Large Language Models (LLMs) have been reported to “leak” Personally Identifiable Information (PII) successful PII reconstruction often interpreted as evidence of memorization.
Approach: They propose a principled revision of memorization evaluation for Large Language Models . they propose PII leakage should be evaluated under low lexical cue conditions .
Outcome: The proposed method is based on a multilingual re-evaluation of PII leakage across 32 languages and multiple memorization paradigms.

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