3 papers
cs.CY2026
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs
Pierre Le Jeune, Ãtienne Duchesne, Weixuan Xiao +4
Multilingual studies of social bias in open-ended LLM generation remain limited: most existing benchmarks are English-centric, template-based, or restricted to recognizing pre-spec…
cs.CY2025
Phare: A Safety Probe for Large Language Models
Pierre Le Jeune, Benoît Malézieux, Weixuan Xiao +1
Ensuring the safety of large language models (LLMs) is critical for responsible deployment, yet existing evaluations often prioritize performance over identifying failure modes. We…
cs.CY2025
RealHarm: A Collection of Real-World Language Model Application Failures
Pierre Le Jeune, Jiaen Liu, Luca Rossi +1
Language model deployments in consumer-facing applications introduce numerous risks. While existing research on harms and hazards of such applications follows top-down approaches d…