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Nolan Smyth

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#artificial intelligence Review Sep 2026

Quantifying Overclaiming Propensity in Frontier LLM Agents

This work operationalizes overclaiming as a final response that reports work that the agent's own transcript shows it did not do, for example, claiming to have read a file it never opened, showing that claims of completion can conceal substantive failures.

Nolan Smyth, Yorguin-Jose Mantilla-Ramos, Pascal Junior Tikeng Notsawo et al. · 2 citations · ⚡1
Preprint Jul 2026

Efficient Safety Alignment of Language Models via Latent Personality Traits

Latent Personality Alignment (LPA) is introduced, which replaces explicit harm refusal with adversarial training on just 66 harm-agnostic statements drawn from psychometric personality literature, hypothesizing that personality-anchored representations share latent structure with harm avoidance, so adversarially stabil...

Mohamed Amine Merzouk, Nolan Smyth, Damiano Fornasiere et al. · 0 citations

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