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As autonomous agents become more powerful and widely used, it is becoming increasingly important to ensure they behave safely and stay aligned with system goals, especially in multi-agent settings.
Goal conflict in designing an autonomous artificial system
Mark Muraven · 2017
Earlier work this paper cites.
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen, Shicheng Wan, and Philip S. Yu · 2023
Earlier work this paper cites.
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao et al · 2023
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Generative AI Agents in Autonomous Machines: A Safety Perspective
Jason Jabbour and Vijay Janapa Reddi · 2024
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Agent S: An Open Agentic Framework that Uses Computers Like a Human
Saaket Agashe, Jiuzhou Han, Shuyu Gan, Jiachen Yang, Ang Li, and Xin Eric Wang · 2024
Cited alongside, same era.
Kexin Chen et al · 2024
Cited alongside, same era.
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, and Andrew D. White · 2024
Cited alongside, same era.
Performance evaluation of tokenizers in large language models for the Assamese language
Sagar Tamang and Dibya Jyoti Bora · 2025
Closest in time.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges
Junyu Luo et al · 2025
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Agent Laboratory: Using LLM Agents as Research Assistants
Samuel Schmidgall et al · 2025
Closest in time.
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