Papers by Lucas Georges Gabriel Charpentier

2 papers
Re-identification of De-identified Documents with Autoregressive Infilling (2025.acl-long)

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Challenge: Documents revealing sensitive information about individuals must typically be de-identified by masking all mentions of PII .
Approach: They propose a method that attempts to reverse the process of re-identification based on a database of documents representing background knowledge.
Outcome: The proposed method can recover as many as 80% of de-identified text spans and improve accuracy along with the level of background knowledge.
Systematic Generalization in Language Models Scales with Information Entropy (2025.findings-acl)

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Challenge: Existing benchmarks for assessing compositional behavior are unclear on how to measure the difficulty of a systematic generalization problem.
Approach: They propose a framework for measuring entropy in a sequence-to-sequence task and a method for measuring it.
Outcome: The proposed framework scales with the entropy of the distribution of component parts in the training data.

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