This survey paper examines the recent advancements in AI agent implementations, with a
focus on their ability to achieve complex goals that require enhanced reasoning, planning …

We investigate the extent to which contemporary Large Language Models (LLMs) can
engage in exploration, a core capability in reinforcement learning and decision making. We …

Large language models (LLMs) have achieved superior performance in powering text-
based AI agents, endowing them with decision-making and reasoning abilities akin to …

Decision-making is a complex process requiring diverse abilities, making it an excellent
framework for evaluating Large Language Models (LLMs). Researchers have examined …

Large Language Models (LLMs) exhibit robust problem-solving capabilities for diverse
tasks. However, most LLM-based agents are designed as specific task solvers with …

This survey summarises the most recent methods for building and assessing helpful, honest,
and harmless neural language models, considering small, medium, and large-size models …

Language Model (LM) agents for cybersecurity that are capable of autonomously identifying
vulnerabilities and executing exploits have potential to cause real-world impact …

Large Language Models (LLMs) have marked a significant advancement in the field of
natural language processing, demonstrating exceptional capabilities in reasoning, tool …

Large language models (LLMs) have empowered intelligent agents to execute intricate
tasks within domain-specific software such as browsers and games. However, when applied …

Recent advancements in large language models (LLMs) have revealed their potential for
achieving autonomous agents possessing human-level intelligence. However, existing …