[HTML][HTML] A survey on large language model based autonomous agents

L Wang, C Ma, X Feng, Z Zhang, H Yang… - Frontiers of Computer …, 2024 - Springer
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …

Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - arXiv preprint arXiv:2311.05656, 2023 - arxiv.org
Misinformation such as fake news and rumors is a serious threat on information ecosystems
and public trust. The emergence of Large Language Models (LLMs) has great potential to …

The rise and potential of large language model based agents: A survey

Z Xi, W Chen, X Guo, W He, Y Ding, B Hong… - arXiv preprint arXiv …, 2023 - arxiv.org
For a long time, humanity has pursued artificial intelligence (AI) equivalent to or surpassing
the human level, with AI agents considered a promising vehicle for this pursuit. AI agents are …

Improving factuality and reasoning in language models through multiagent debate

Y Du, S Li, A Torralba, JB Tenenbaum… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have demonstrated remarkable capabilities in language
generation, understanding, and few-shot learning in recent years. An extensive body of work …

Agentbench: Evaluating llms as agents

X Liu, H Yu, H Zhang, Y Xu, X Lei, H Lai, Y Gu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) are becoming increasingly smart and autonomous,
targeting real-world pragmatic missions beyond traditional NLP tasks. As a result, there has …

Cognitive architectures for language agents

TR Sumers, S Yao, K Narasimhan… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent efforts have incorporated large language models (LLMs) with external resources (eg,
the Internet) or internal control flows (eg, prompt chaining) for tasks requiring grounding or …

Openagents: An open platform for language agents in the wild

T Xie, F Zhou, Z Cheng, P Shi, L Weng, Y Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Language agents show potential in being capable of utilizing natural language for varied
and intricate tasks in diverse environments, particularly when built upon large language …

Towards efficient generative large language model serving: A survey from algorithms to systems

X Miao, G Oliaro, Z Zhang, X Cheng, H Jin… - arXiv preprint arXiv …, 2023 - arxiv.org
In the rapidly evolving landscape of artificial intelligence (AI), generative large language
models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …

Llm self defense: By self examination, llms know they are being tricked

A Helbling, M Phute, M Hull, DH Chau - arXiv preprint arXiv:2308.07308, 2023 - arxiv.org
Large language models (LLMs) are popular for high-quality text generation but can produce
harmful content, even when aligned with human values through reinforcement learning …

Large language models: a comprehensive survey of its applications, challenges, limitations, and future prospects

MU Hadi, R Qureshi, A Shah, M Irfan, A Zafar… - Authorea …, 2023 - techrxiv.org
Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …