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Gert Lek

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#artificial intelligence Preprint Sep 2026

Understanding Confabulation and Rethinking Reconstruction in Activation Explanations

A standardized evaluation framework for unstructured NLA explanations is introduced, measuring information recoverable from explanations, contextual support for their claims, and writing quality, and opening up a direction for improving activation-derived training to encourage more informative, supported, and readable...

Gert Lek, Zi-Xuan Xia, Pin-Yu Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails

This work proposes a masked diffusion language model, fine-tuning LLaDA-8B-Instruct with a class-conditional reconstruction objective using LoRA and requiring no architectural changes beyond the base model, which leads on average rank against discriminative baselines trained on stronger backbones across seven held-out...

Gert Lek, Abele Malan, Chao-Yi Zhu et al. · 0 citations
Preprint Aug 2026

Diffusion LLMs as Targets and Adversaries: Mechanistic Safety Exploits

SN-Guided Diffusion is introduced, a fully offline black-box jailbreak framework that steers the diffusion process away from safety-triggering regions using a weighted safety neuron loss, which achieves near-perfect prompt separability.

Elena Dumitrescu, Gert Lek, L. Chen et al. · 0 citations

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