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cs.CL2025
Evaluating LLMs on Generating Age-Appropriate Child-Like Conversations
Syed Zohaib Hassan, Pål Halvorsen, Miriam S. Johnson +1
Large Language Models (LLMs), predominantly trained on adult conversational data, face significant challenges when generating authentic, child-like dialogue for specialized applica…
cs.CL2025
Stronger Re-identification Attacks through Reasoning and Aggregation
Lucas Georges Gabriel Charpentier, Pierre Lison
Text de-identification techniques are often used to mask personally identifiable information (PII) from documents. Their ability to conceal the identity of the individuals mentione…
cs.CL2025
Re-identification of De-identified Documents with Autoregressive Infilling
Lucas Georges Gabriel Charpentier, Pierre Lison
Documents revealing sensitive information about individuals must typically be de-identified. This de-identification is often done by masking all mentions of personally identifiable…