Language Agents: Foundations, Prospects, and Risks

🏛 Institutions: The Ohio State University , Stanford University , Princeton University , The University of Hong Kong
📅 Date: November 30, 2024
📑 Publisher: EMNLP 2024 Tutorial Abstracts
💻 Env
🔑 Keywords: survey tutorial reasoning planning memory multi-agent systems safety

TLDR

This tutorial provides a comprehensive exploration of language agents—autonomous systems powered by large language models capable of executing complex tasks through language instructions. It delves into their theoretical foundations, potential applications, associated risks, and future directions, covering topics such as reasoning, memory, planning, tool augmentation, grounding, multi-agent systems, and safety considerations.

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