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cs.CL2026
No PUN Intended: Plausible Unknown Names for Person-Centred LLM Evaluation
Dimitri Staufer, David Hartmann, Ibrahim Baroud
Person names are widely used as prompt variables in LLM evaluations of factuality, privacy leakage, bias and abstention, but when a name's evidential status is uncontrolled, measur…
cs.CL2026
Bye Bye Perspective API: Lessons for Measurement Infrastructure in NLP, CSS and LLM Evaluation
David Hartmann, Manuel Tonneau, Angelie Kraft +7
The closure of Perspective API at the end of 2026 discards what has functioned as the de facto standard for automated toxicity measurement in NLP, CSS, and LLM evaluation research.…
cs.CL2025
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests
Dimitri Staufer
Large Language Models (LLMs) can memorize and reveal personal information, raising concerns regarding compliance with the EU's GDPR, particularly the Right to Be Forgotten (RTBF).…