90 citations · 206 across the 39 of their papers we have counts for
4 papers · 1 filter
Evaluating using Mock Tool Calls to Quarantine Untrusted Prompt Inputs
David Gros, Adam Gleave
Large language models must frequently process untrusted inputs, such as judging an answer from another model or running tasks like spam and harm classifiers while under adversarial…
STACK: Adversarial Attacks on LLM Safeguard Pipelines
Ian R. McKenzie, Oskar J. Hollinsworth, Tom Tseng +5
Frontier AI developers are relying on layers of safeguards to protect against catastrophic misuse of AI systems. Anthropic and OpenAI guard their latest Opus 4 model and GPT-5 mode…
Uncovering Latent Human Wellbeing in Language Model Embeddings
Pedro Freire, ChengCheng Tan, Adam Gleave +2
Do language models implicitly learn a concept of human wellbeing? We explore this through the ETHICS Utilitarianism task, assessing if scaling enhances pretrained models' represent…
Uncertainty Estimation for Language Reward Models
Adam Gleave, Geoffrey Irving
Language models can learn a range of capabilities from unsupervised training on text corpora. However, to solve a particular problem (such as text summarization) it is typically ne…