Language Agents: Foundations, Prospects, and Risks
Yu Su, Diyi Yang, Shunyu Yao, Tao Yu
- 🏛 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
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.
Related papers
- WebATLAS: An LLM Agent with Experience-Driven Memory and Action SimulationOctober 26, 2025 · NeurIPS 2025 Workshop on Language Agents and World Models
- A Survey on the Safety and Security Threats of Computer-Using Agents: JARVIS or Ultron?May 16, 2025 · arXiv
- LLM-Powered GUI Agents in Phone Automation: Surveying Progress and ProspectsApril 28, 2025 · TMLR 2025
- OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser UseDecember 20, 2024 · ACL 2025
- The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use AgentsApril 12, 2026 · arXiv
- CORA: Conformal Risk-Controlled Agents for Safeguarded Mobile GUI AutomationApril 10, 2026 · arXiv