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Recent advances on large language models (LLMs) enable researchers and developers to build autonomous language agents that can automatically solve various tasks and interact with environments, humans, and other agents using natural language…

Software is one of the most powerful tools that we humans have at our disposal; it allows a skilled programmer to interact with the world in complex and profound ways. At the same time, thanks to improvements in large language models…

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for them. Benefiting from recent progress in large language models…

Despite advancements in Large Language Models (LLMs) and Large Multimodal Models (LMMs), their integration into language-grounded, human-like embodied agents remains incomplete, hindering complex real-life task performance in physical…

计算与语言 · 计算机科学 2024-08-20 Zhili Cheng , Zhitong Wang , Jinyi Hu , Shengding Hu , An Liu , Yuge Tu , Pengkai Li , Lei Shi , Zhiyuan Liu , Maosong Sun

Large Language Model (LLM) Agents have demonstrated remarkable capabilities in task automation and intelligent decision-making, driving the widespread adoption of agent development frameworks such as LangChain and AutoGen. However, these…

人工智能 · 计算机科学 2025-10-10 Jiabin Tang , Tianyu Fan , Chao Huang

The advent of Large Language Models (LLMs) has significantly revolutionized web search. The emergence of LLM-based Search Agents marks a pivotal shift towards deeper, dynamic, autonomous information seeking. These agents can comprehend user…

信息检索 · 计算机科学 2025-08-20 Yunjia Xi , Jianghao Lin , Yongzhao Xiao , Zheli Zhou , Rong Shan , Te Gao , Jiachen Zhu , Weiwen Liu , Yong Yu , Weinan Zhang

In recent years, data science agents powered by Large Language Models (LLMs), known as "data agents," have shown significant potential to transform the traditional data analysis paradigm. This survey provides an overview of the evolution,…

人工智能 · 计算机科学 2025-12-01 Maojun Sun , Ruijian Han , Binyan Jiang , Houduo Qi , Defeng Sun , Yancheng Yuan , Jian Huang

Large Language Models (LLMs) excel in traditional natural language processing tasks but struggle with problems that require complex domain-specific calculations or simulations. While equipping LLMs with external tools to build LLM-based…

软件工程 · 计算机科学 2025-06-11 Bohan Lyu , Xin Cong , Heyang Yu , Pan Yang , Yujia Qin , Yining Ye , Yaxi Lu , Zhong Zhang , Yukun Yan , Yankai Lin , Zhiyuan Liu , Maosong Sun

The advent of large language models (LLMs) such as ChatGPT, PaLM, and GPT-4 has catalyzed remarkable advances in natural language processing, demonstrating human-like language fluency and reasoning capacities. This position paper introduces…

计算与语言 · 计算机科学 2024-02-07 Zhixuan Chu , Yan Wang , Feng Zhu , Lu Yu , Longfei Li , Jinjie Gu

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 as autonomous agents to do many tasks automatically. Recently,…

计算与语言 · 计算机科学 2024-04-22 Taicheng Guo , Xiuying Chen , Yaqi Wang , Ruidi Chang , Shichao Pei , Nitesh V. Chawla , Olaf Wiest , Xiangliang Zhang

The advancements of large language models (LLMs) have piqued growing interest in developing LLM-based language agents to automate scientific discovery end-to-end, which has sparked both excitement and skepticism about their true…

Simulations, although powerful in accurately replicating real-world systems, often remain inaccessible to non-technical users due to their complexity. Conversely, large language models (LLMs) provide intuitive, language-based interactions…

计算与语言 · 计算机科学 2025-05-22 Jacob Kleiman , Kevin Frank , Joseph Voyles , Sindy Campagna

Game environments provide rich, controllable settings that stimulate many aspects of real-world complexity. As such, game agents offer a valuable testbed for exploring capabilities relevant to Artificial General Intelligence. Recently, the…

Human communication is a complex and diverse process that not only involves multiple factors such as language, commonsense, and cultural backgrounds but also requires the participation of multimodal information, such as speech. Large…

计算与语言 · 计算机科学 2024-01-09 Dong Zhang , Zhaowei Li , Pengyu Wang , Xin Zhang , Yaqian Zhou , Xipeng Qiu

Large language models (LLMs) have recently demonstrated remarkable capabilities to comprehend human intentions, engage in reasoning, and design planning-like behavior. To further unleash the power of LLMs to accomplish complex tasks, there…

Building generalist agents that can handle diverse tasks and evolve themselves across different environments is a long-term goal in the AI community. Large language models (LLMs) are considered a promising foundation to build such agents…

The rapid advancement of Large Language Models (LLMs) has driven novel applications across diverse domains, with LLM-based agents emerging as a crucial area of exploration. This survey presents a comprehensive analysis of LLM-based agents…

人工智能 · 计算机科学 2025-11-25 Ke Chen , Peiran Wang , Yaoning Yu , Xianyang Zhan , Haohan Wang

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 artificial entities that sense their environment,…

Large Language Models (LLMs) are transforming artificial intelligence, evolving into task-oriented systems capable of autonomous planning and execution. One of the primary applications of LLMs is conversational AI systems, which must…

计算与语言 · 计算机科学 2025-01-22 Elad Levi , Ilan Kadar

AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks. AutoGen agents are customizable, conversable, and can operate in various modes…

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