[PDF] arxiv.org

Smartplay: A benchmark for llms as intelligent agents

Y Wu, X Tang, TM Mitchell, Y Li - arXiv preprint arXiv:2310.01557, 2023 - arxiv.org
Recent large language models (LLMs) have demonstrated great potential toward intelligent
agents and next-gen automation, but there currently lacks a systematic benchmark for …
被引用次数：22 相关文章 所有 4 个版本
[PDF] arxiv.org

Bolaa: Benchmarking and orchestrating llm-augmented autonomous agents

Z Liu, W Yao, J Zhang, L Xue, S Heinecke… - arXiv preprint arXiv …, 2023 - arxiv.org
The massive successes of large language models (LLMs) encourage the emerging
exploration of LLM-augmented Autonomous Agents (LAAs). An LAA is able to generate …
被引用次数：47 相关文章 所有 2 个版本
[PDF] arxiv.org

Large language model based multi-agents: A survey of progress and challenges

T Guo, X Chen, Y Wang, R Chang, S Pei… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Models (LLMs) have achieved remarkable success across a wide array of
tasks. Due to the impressive planning and reasoning abilities of LLMs, they have been used …
被引用次数：47 相关文章 所有 4 个版本
[PDF] arxiv.org

If llm is the wizard, then code is the wand: A survey on how code empowers large language models to serve as intelligent agents

K Yang, J Liu, J Wu, C Yang, YR Fung, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
The prominent large language models (LLMs) of today differ from past language models not
only in size, but also in the fact that they are trained on a combination of natural language …
被引用次数：23 相关文章 所有 3 个版本
[PDF] arxiv.org

Exploring large language model based intelligent agents: Definitions, methods, and prospects

Y Cheng, C Zhang, Z Zhang, X Meng, S Hong… - arXiv preprint arXiv …, 2024 - arxiv.org
Intelligent agents stand out as a potential path toward artificial general intelligence (AGI).
Thus, researchers have dedicated significant effort to diverse implementations for them …
被引用次数：18 相关文章 所有 2 个版本
[PDF] arxiv.org

Exploring collaboration mechanisms for llm agents: A social psychology view

J Zhang, X Xu, S Deng - arXiv preprint arXiv:2310.02124, 2023 - arxiv.org
As Natural Language Processing (NLP) systems are increasingly employed in intricate
social environments, a pressing query emerges: Can these NLP systems mirror human …
被引用次数：37 相关文章 所有 4 个版本
[PDF] github.io

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 …
被引用次数：373 相关文章 所有 4 个版本
[PDF] arxiv.org

Executable code actions elicit better llm agents

X Wang, Y Chen, L Yuan, Y Zhang, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Large Language Model (LLM) agents, capable of performing a broad range of actions, such
as invoking tools and controlling robots, show great potential in tackling real-world …
被引用次数：17 相关文章 所有 4 个版本
[PDF] openreview.net

Agents: An open-source framework for autonomous language agents

W Zhou, YE Jiang, L Li, J Wu, T Wang, S Qiu… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent advances on large language models (LLMs) enable researchers and developers to
build autonomous language agents that can automatically solve various tasks and interact …
被引用次数：39 相关文章 所有 3 个版本
[PDF] arxiv.org

Middleware for llms: Tools are instrumental for language agents in complex environments

Y Gu, Y Shu, H Yu, X Liu, Y Dong, J Tang… - arXiv preprint arXiv …, 2024 - arxiv.org
The applications of large language models (LLMs) have expanded well beyond the confines
of text processing, signaling a new era where LLMs are envisioned as generalist language …
被引用次数：5 相关文章 所有 2 个版本