165 citations · 165 across the 8 of their papers we have counts for
3 papers · 1 filter
Inoculation Midtraining with Learned Neologisms
Kyle O'Brien, Edward James Young, Puria Radmard +4
Large language models (LLMs) often learn both desirable and undesirable properties during post-training. We study whether midtraining, an earlier training stage, can shape which of…
Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
Cameron Tice, Puria Radmard, Samuel Ratnam +3
Pretraining corpora contain extensive discourse about AI systems, yet the causal influence of this discourse on downstream alignment remains poorly understood. If prevailing descri…
Expanding External Access To Frontier AI Models For Dangerous Capability Evaluations
Jacob Charnock, Alejandro Tlaie, Kyle O'Brien +2
Frontier AI companies increasingly rely on external evaluations to assess risks from dangerous capabilities before deployment. However, external evaluators often receive limited mo…