1 citations · 3 across the 9 of their papers we have counts for
3 papers · 1 filter
SAFLITE: Fuzzing Autonomous Systems via Large Language Models
Taohong Zhu, Adrians Skapars, Fardeen Mackenzie +4
Fuzz testing effectively uncovers software vulnerabilities; however, it faces challenges with Autonomous Systems (AS) due to their vast search spaces and complex state spaces, whic…
Transformers Use Causal World Models in Maze-Solving Tasks
Alex F. Spies, William Edwards, Michael I. Ivanitskiy +5
Recent studies in interpretability have explored the inner workings of transformer models trained on tasks across various domains, often discovering that these networks naturally d…
Was it Slander? Towards Exact Inversion of Generative Language Models
Adrians Skapars, Edoardo Manino, Youcheng Sun +1
Training large language models (LLMs) requires a substantial investment of time and money. To get a good return on investment, the developers spend considerable effort ensuring tha…