Pacchiardi, Lorenzo

How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Pacchiardi, L., Chan, A. J., Mindermann, S., Moscovitz, I., Pan, A. Y., Gal, Y., Evans, O., & Brauner, J. (2023) · arXiv

Deception detection and forensic psychologyMisinformation and Its Impacts

Cited by 8

Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies

Brundage, M., Dreksler, N., Homewood, A., McGregor, S., Paskov, P., Stosz, C., Sastry, G., Cooper, A. F., Balston, G., Adler, S., et al. (2026) · arXiv

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 1

Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers

Pacchiardi, L., Tesic, M., Cheke, L. G., & Hernández-Orallo, J. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1