Artificial intelligence (AI) advancements, especially deep learning, have significantly
improved medical image processing and analysis in various tasks such as disease …

Large language models (LLMs)(Anil et al., 2023; Glaese et al., 2022; OpenAI, 2023; Ouyang
et al., 2022) have made remarkable strides in enhancing natural language understanding …

Neural representations are internal brain states that constitute the brain's model of the
external world or some of its features. In the presence of sensory input, a representation may …

Research in Fairness, Accountability, Transparency, and Ethics (FATE) 1 has established
many sources and forms of algorithmic harm, in domains as diverse as health care, finance …

Recent breakthroughs in large language models (LLMs) have brought remarkable success
in the field of LLM-as-Agent. Nevertheless, a prevalent assumption is that the information …

Games have a long history as benchmarks for progress in artificial intelligence. Approaches
using search and learning produced strong performance across many perfect information …

Deceptive agents are a challenge for the safety, trustworthiness, and cooperation of AI
systems. We focus on the problem that agents might deceive in order to achieve their goals …

We attack the state-of-the-art Go-playing AI system KataGo by training adversarial policies
against it, achieving a $> $97% win rate against KataGo running at superhuman settings …

Non-cooperative and cooperative games with a very large number of players have many
applications but remain generally intractable when the number of players increases …

In recent years there has been a tremendous surge in the general capabilities of AI systems,
mainly fuelled by training foundation models on internetscale data. Nevertheless, the …