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The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially extend the versatility and expertise of LLMs by enhancing LLMs…

Software Engineering · Computer Science 2025-12-04 Junwei Liu , Kaixin Wang , Yixuan Chen , Xin Peng , Zhenpeng Chen , Lingming Zhang , Yiling Lou

Large Language Models (LLMs), such as Generative Pre-trained Transformers (GPTs) are revolutionizing the generation of human-like text, producing contextually relevant and syntactically correct content. Despite challenges like biases and…

Computation and Language · Computer Science 2025-08-04 Alper Yaman , Jannik Schwab , Christof Nitsche , Abhirup Sinha , Marco Huber

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of AI, both in research and commerce. Through instruction-tuning a large language model (LLM) with supervised fine-tuning and reinforcement learning…

Computation and Language · Computer Science 2024-01-17 Hailin Chen , Fangkai Jiao , Xingxuan Li , Chengwei Qin , Mathieu Ravaut , Ruochen Zhao , Caiming Xiong , Shafiq Joty

In this paper, we propose a novel factored agent architecture designed to overcome the limitations of traditional single-agent systems in agentic AI. Our approach decomposes the agent into two specialized components: (1) a large language…

Artificial Intelligence · Computer Science 2025-04-03 Nicholas Roth , Christopher Hidey , Lucas Spangher , William F. Arnold , Chang Ye , Nick Masiewicki , Jinoo Baek , Peter Grabowski , Eugene Ie

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

Large language models (LLMs) possess extensive knowledge bases and strong reasoning capabilities, making them promising tools for complex, multi-agent planning in embodied environments. However, despite LLMs' advanced abilities and the…

Multiagent Systems · Computer Science 2025-06-10 Xinran Li , Chenjia Bai , Zijian Li , Jiakun Zheng , Ting Xiao , Jun Zhang

The evolution of next-Generation (xG) wireless networks marks a paradigm shift from connectivity-centric architectures to Artificial Intelligence (AI)-native designs that tightly integrate data, computing, and communication. Yet existing AI…

Multiagent Systems · Computer Science 2026-02-03 Xiaoxue Yu , Rongpeng Li , Zhifeng Zhao , Honggang Zhang

The next generation of wireless communications seeks to deeply integrate artificial intelligence (AI) with user-centric communication networks, with the goal of developing AI-native networks that more accurately address user requirements.…

Networking and Internet Architecture · Computer Science 2025-04-17 Kuiyuan Ding , Caili Guo , Yang Yang , Wuxia Hu , Yonina C. Eldar

The integration of a complex set of Electronic Design Automation (EDA) tools to enhance interoperability is a critical concern for circuit designers. Recent advancements in large language models (LLMs) have showcased their exceptional…

Hardware Architecture · Computer Science 2024-09-24 Zhuolun He , Haoyuan Wu , Xinyun Zhang , Xufeng Yao , Su Zheng , Haisheng Zheng , Bei Yu

Cutting-edge Artificial Intelligence (AI) techniques keep reshaping our view of the world. For example, Large Language Models (LLMs) based applications such as ChatGPT have shown the capability of generating human-like conversation on…

Fast and effective incident response is essential to prevent adversarial cyberattacks. Autonomous Cyber Defense (ACD) aims to automate incident response through Artificial Intelligence (AI) agents that plan and execute actions. Most ACD…

Artificial Intelligence · Computer Science 2025-07-22 Sebastián R. Castro , Roberto Campbell , Nancy Lau , Octavio Villalobos , Jiaqi Duan , Alvaro A. Cardenas

The latest advancements in AI and deep learning have led to a breakthrough in large language model (LLM)-based agents such as GPT-4. However, many commercial conversational agent development tools are pipeline-based and have limitations in…

Computation and Language · Computer Science 2023-09-08 Mina Foosherian , Hendrik Purwins , Purna Rathnayake , Touhidul Alam , Rui Teimao , Klaus-Dieter Thoben

Foundation models face growing compute and memory bottlenecks, hindering deployment on resource-limited platforms. While compression techniques such as pruning and quantization are widely used, most rely on uniform heuristics that ignore…

Machine Learning · Computer Science 2025-09-09 Sadegh Jafari , Aishwarya Sarkar , Mohiuddin Bilwal , Ali Jannesari

In recent years, large language models (e.g., Open AI's GPT-4, Meta's LLaMa, Google's PaLM) have become the dominant approach for building AI systems to analyze and generate language online. However, the automated systems that increasingly…

Computation and Language · Computer Science 2023-06-14 Gabriel Nicholas , Aliya Bhatia

A significant application of Large Language Models (LLMs), like ChatGPT, is their deployment as chat agents, which respond to human inquiries across a variety of domains. While current LLMs proficiently answer general questions, they often…

Computation and Language · Computer Science 2024-04-16 Lang Cao

Agentic AI networking (AgentNet) is a novel AI-native networking paradigm in which a large number of specialized AI agents collaborate to perform autonomous decision-making, dynamic environmental adaptation, and complex missions. It has the…

Artificial Intelligence · Computer Science 2026-05-13 Yong Xiao , Xubo Li , Haoran Zhou , Yingyu Li , Yayu Gao , Guangming Shi , Ping Zhang , Marwan Krunz

Creating and deploying customized applications is crucial for operational success and enriching user experiences in the rapidly evolving modern business world. A prominent facet of modern user experiences is the integration of chatbots or…

Large language models (LLMs) such as ChatGPT, Gemini, LlaMa, and Claude are trained on massive quantities of text parsed from the internet and have shown a remarkable ability to respond to complex prompts in a manner often indistinguishable…

Optics · Physics 2025-04-01 Darui Lu , Yang Deng , Jordan M. Malof , Willie J. Padilla

Recently, large language models (LLMs) have gained significant attention for their ability to generate fast and accurate answer to the given query. These models have evolved into large multimodal models (LMMs), which can interpret and…

Information Theory · Computer Science 2026-01-13 Sunwoo Kim , Byonghyo Shim

The emergence of sixth-generation and beyond communication systems is expected to fundamentally transform digital experiences through introducing unparalleled levels of intelligence, efficiency, and connectivity. A promising technology…