Search Results for author:
Found 6 papers, 4 papers with code
Markovian Agents for Truthful Language Modeling
We formalize the idea that the truthfulness of a sender to a receiver LM is the degree to which the sender helps the receiver predict their future observations.
Human vs. Machine: Language Models and Wargames
Wargames have a long history in the development of military strategy and the response of nations to threats or attacks.
Escalation Risks from Language Models in Military and Diplomatic Decision-Making
Governments are increasingly considering integrating autonomous AI agents in high-stakes military and foreign-policy decision-making, especially with the emergence of advanced generative AI models like GPT-4.
TomOpt: Differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
We describe a software package, TomOpt, developed to optimise the geometrical layout and specifications of detectors designed for tomography by scattering of cosmic-ray muons.
Analyzing And Editing Inner Mechanisms Of Backdoored Language Models
Poisoning of data sets is a potential security threat to large language models that can lead to backdoored models.
Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves
Cosmological shock waves are essential to understanding the formation of cosmological structures.
