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Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Computation and Language · Computer Science 2024-01-01 Yupeng Chang , Xu Wang , Jindong Wang , Yuan Wu , Linyi Yang , Kaijie Zhu , Hao Chen , Xiaoyuan Yi , Cunxiang Wang , Yidong Wang , Wei Ye , Yue Zhang , Yi Chang , Philip S. Yu , Qiang Yang , Xing Xie

Large Language Models (LLMs) have revolutionized Natural Language Processing but exhibit limitations, particularly in autonomously addressing novel challenges such as reasoning and problem-solving. Traditional techniques like…

Multiagent Systems · Computer Science 2024-01-03 Sumedh Rasal

Large Language Models (LLMs) have demonstrated surprising performance across various natural language processing tasks. Recently, medical LLMs enhanced with domain-specific knowledge have exhibited excellent capabilities in medical…

Computation and Language · Computer Science 2024-09-24 Jinqiang Wang , Huansheng Ning , Yi Peng , Qikai Wei , Daniel Tesfai , Wenwei Mao , Tao Zhu , Runhe Huang

Inspired by the rapid development of Large Language Models (LLMs), LLM agents have evolved to perform complex tasks. LLM agents are now extensively applied across various domains, handling vast amounts of data to interact with humans and…

Cryptography and Security · Computer Science 2025-11-04 Feng He , Tianqing Zhu , Dayong Ye , Bo Liu , Wanlei Zhou , Philip S. Yu

Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence. The application of LLMs extends beyond conventional…

Computational experiments have emerged as a valuable method for studying complex systems, involving the algorithmization of counterfactuals. However, accurately representing real social systems in Agent-based Modeling (ABM) is challenging…

Artificial Intelligence · Computer Science 2024-02-02 Qun Ma , Xiao Xue , Deyu Zhou , Xiangning Yu , Donghua Liu , Xuwen Zhang , Zihan Zhao , Yifan Shen , Peilin Ji , Juanjuan Li , Gang Wang , Wanpeng Ma

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

Computation and Language · Computer Science 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

Large Language Models (LLMs) have enabled multi-agent systems to perform autonomous code generation for complex tasks. Despite the recent growth in research and industrial applications in this area, there is little work on synthesizing…

Software Engineering · Computer Science 2026-04-21 Zeeshan Rasheeda , Muhammad Waseema , Kai-Kristian Kemella , Mika Saari , Pekka Abrahamsson

Large language models (LLMs) and LLM-based agents have been widely deployed in a wide range of applications in the real world, including healthcare diagnostics, financial analysis, customer support, robotics, and autonomous driving,…

Cryptography and Security · Computer Science 2025-05-20 Wenrui Xu , Keshab K. Parhi

Large language models and autonomous AI agents have evolved rapidly, resulting in a diverse array of evaluation benchmarks, frameworks, and collaboration protocols. Driven by the growing need for standardized evaluation and integration, we…

Artificial Intelligence · Computer Science 2026-03-10 Mohamed Amine Ferrag , Norbert Tihanyi , Merouane Debbah

Large Language Models (LLMs) are transforming healthcare through the development of LLM-based agents that can understand, reason about, and assist with medical tasks. This survey provides a comprehensive review of LLM-based agents in…

Computation and Language · Computer Science 2025-05-27 Wenxuan Wang , Zizhan Ma , Zheng Wang , Chenghan Wu , Jiaming Ji , Wenting Chen , Xiang Li , Yixuan Yuan

Large Language Models (LLMs) are catalyzing a paradigm shift in scientific discovery, evolving from task-specific automation tools into increasingly autonomous agents and fundamentally redefining research processes and human-AI…

Computation and Language · Computer Science 2025-09-18 Tianshi Zheng , Zheye Deng , Hong Ting Tsang , Weiqi Wang , Jiaxin Bai , Zihao Wang , Yangqiu Song

Recent advances in large language models (LLMs) have sparked growing interest in building fully autonomous agents. However, fully autonomous LLM-based agents still face significant challenges, including limited reliability due to…

Large Language Models (LLMs) excel in handling general knowledge tasks, yet they struggle with user-specific personalization, such as understanding individual emotions, writing styles, and preferences. Personalized Large Language Models…

Artificial Intelligence · Computer Science 2025-09-23 Jiahong Liu , Zexuan Qiu , Zhongyang Li , Quanyu Dai , Wenhao Yu , Jieming Zhu , Minda Hu , Menglin Yang , Tat-Seng Chua , Irwin King

GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI…

Artificial Intelligence · Computer Science 2025-05-07 Chaoyun Zhang , Shilin He , Jiaxu Qian , Bowen Li , Liqun Li , Si Qin , Yu Kang , Minghua Ma , Guyue Liu , Qingwei Lin , Saravan Rajmohan , Dongmei Zhang , Qi Zhang

Context: Manual qualitative data analysis is time-intensive and can compromise validity and replicability, affecting analysis design, implementation, and reporting. Large Language Models (LLMs) enable human-bot collaboration in Software…

Software Engineering · Computer Science 2025-10-14 Zeeshan Rasheed , Muhammad Waseem , Aakash Ahmad , Kai-Kristian Kemell , Wang Xiaofeng , Anh Nguyen Duc , Pekka Abrahamsson

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

The rapid development and deployment of large language models (LLMs) have introduced a new frontier in artificial intelligence, marked by unprecedented capabilities in natural language understanding and generation. However, the increasing…

Artificial Intelligence · Computer Science 2024-12-25 Dan Shi , Tianhao Shen , Yufei Huang , Zhigen Li , Yongqi Leng , Renren Jin , Chuang Liu , Xinwei Wu , Zishan Guo , Linhao Yu , Ling Shi , Bojian Jiang , Deyi Xiong

Trading is a highly competitive task that requires a combination of strategy, knowledge, and psychological fortitude. With the recent success of large language models(LLMs), it is appealing to apply the emerging intelligence of LLM agents…

Trading and Market Microstructure · Quantitative Finance 2026-03-03 Han Ding , Yinheng Li , Junhao Wang , Hang Chen , Doudou Guo , Yunbai Zhang

The swift evolution of Large-scale Models (LMs), either language-focused or multi-modal, has garnered extensive attention in both academy and industry. But despite the surge in interest in this rapidly evolving area, there are scarce…

Artificial Intelligence · Computer Science 2024-03-18 Xinrun Xu , Yuxin Wang , Chaoyi Xu , Ziluo Ding , Jiechuan Jiang , Zhiming Ding , Börje F. Karlsson