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In recent years, the emergence of large language models (LLMs) has revolutionized the field of artificial intelligence, showcasing remarkable proficiency in natural language understanding and generation. This advancement has spurred a growing research area focused on the development of LLM-based autonomous agents, aiming to achieve human-like decision-making capabilities. This Position Paper provides an overview of current research areas and breakthroughs in LLM-based AI agents. We highlight key advancements and discuss limitations within each area. Furthermore, we identify opportunities for future research to accelerate progress towards realizing more capable versions of AI agents.
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Benjamin Faught
Haiyan Lu
Thomas Marshall
Georgia Institute of Technology
Tufts University
Laboratoire d'Informatique de Paris-Nord
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Faught et al. (Tue,) studied this question.
www.synapsesocial.com/papers/68e65549b6db6435875e4138 — DOI: https://doi.org/10.31219/osf.io/f75wz
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