Inference‑Time Steering for Cross‑Lingual Factual Consistency in LLMs
Comparing prompting, activation steering, and preference tuning for more consistent factual answers across languages.
Selected work
Language models, security, and the systems behind useful AI.
Comparing prompting, activation steering, and preference tuning for more consistent factual answers across languages.
Steering answer distributions across languages and testing how those interventions transfer to cultural settings.
An examination of secure wireless pairing, its verification, and the conditions behind a man‑in‑the‑middle vulnerability.
Evaluating language models for classification, data augmentation, and synthetic data in spam detection and policy compliance.
A case for smaller, specialised models and intelligence built across an agentic system.