Large language models (LLMs) augmented with external data have demonstrated
remarkable capabilities in completing real-world tasks. Techniques for integrating external …

In this paper, we introduce a simulacrum of hospital called Agent Hospital that simulates the
entire process of treating illness. All patients, nurses, and doctors are autonomous agents …

Large-scale, pre-trained neural networks have demonstrated strong capabilities in various
tasks, including zero-shot image segmentation. To identify concrete objects in complex …

Humans can leverage both symbolic reasoning and intuitive reactions. In contrast,
reinforcement learning policies are typically encoded in either opaque systems like neural …

The self-rationalising capabilities of large language models (LLMs) have been explored in
restricted settings, using task/specific data sets. However, current LLMs do not (only) rely on …

Training large language models (LLMs) often requires extensive human supervision and
struggles with modeling long-range text semantic dependencies. To address these …

The rapid advancement of generative AI, particularly large language models (LLMs), has
raised concerns regarding the trustworthiness and factual accuracy of generated content …