Author

Mark Vero

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#artificial intelligence Preprint May 2025

Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning

An attack is proposed, FAB (Finetuning-activated Adversarial Behaviors), which compromises an LLM via meta-learning techniques that simulate downstream finetuning, explicitly optimizing for the emergence of adversarial behaviors in the finetuned models.

Thibaud Gloaguen, Mark Vero, Robin Staab et al. · 4 citations

Jul 2026

Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation

This work uses classic instruction tuning, supervised fine-tuning without reasoning traces, on the RLM to improve RLM performance in both verifiable and hard-to-verify domains, including coding and text summarization, while preserving RLM capabilities across other domains.

Yuanning Feng, Niels Mündler-Sasahara, Mark Vero et al. · arXiv.org · 0 citations