Author

Davide Buscaldi

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#artificial intelligence Preprint Oct 2026

External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing

As Large Language Models (LLMs) increasingly serve as foundational reasoning engines, their tendency to hallucinate remains a critical vulnerability. While recent internal state probes offer a promising alternative to slow external retrieval systems, they largely reduce hallucination detection to a token-wise binary cl...

Kingshuk Gupta, Davide Buscaldi · 0 citations

#artificial intelligence Preprint Sep 2026

Some Emotions Run Deeper: Layer-wise Probing and Causal Intervention in Large Language Models

This work investigates whether the depth at which emotion becomes accessible is a property of the model or also of the text source, and combines layer-wise probing with offline feature scaling and online forward interventions, transfer analyses, and an early-exit classifier.

Tian-Mi Fang, Gaël Guibon, Davide Buscaldi · 0 citations