9 citations · 9 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Sixteen models, fewer than two voices: measuring ensemble dispersion where no answer is uniquely correct
Mario Vega-Barbas, Lidia Mora-Valenciano, Iván Pau +2
Sixteen language models drawn from ten families produced, on average, the semantic diversity of 1.69 distinct formulations of a psychotherapeutic case, against a single-model basel…
cs.CR2025★ 9 cited
Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
Farhad Abtahi, Fernando Seoane, Iván Pau +1
Healthcare AI systems face major vulnerabilities to data poisoning that current defenses and regulations cannot adequately address. We analyzed eight attack scenarios in four categ…