Vladimir Aletov

Riemannian optimization enables a new level of control over LLM refusal behavior, outperforming traditional methods that depend on auxiliary constructs.

Associative context retrieval can dramatically amplify the effectiveness of white-box attacks on LLMs without compromising their general performance.

Tensorion achieves superior convergence and stability in optimizing tensor-based models, outperforming traditional methods like Adam.