Tanja Baeumel

Steering vectors for distinct model behaviors remain naturally orthogonal in the residual stream, enabling training-free, multi-attribute control over language, safety, and style simply by stratifying injection across model depth.

Translation in multilingual LLMs is more modular than previously thought, with syntax and surface language production operating as distinct processes.

Tokenization isn’t just a preprocessing step; it’s a hidden driver of model performance and learning dynamics that could redefine how we interpret model evaluations.

Steering isn't just a trick; it's a fundamentally different way to adapt language models, offering localized, reversible control that traditional fine-tuning can't match.