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Large Language Models (LLMs) have emerged as transformative tools for natural language understanding and user intent resolution, enabling tasks such as translation, summarization, and, increasingly, the orchestration of complex workflows.…

Software Engineering · Computer Science 2025-11-12 Justus Flerlage , Alexander Acker , Odej Kao

Large language models (LLMs) are introducing a paradigm shift in molecular discovery by enabling text-guided interaction with chemical spaces through natural language, symbolic notations, with emerging extensions to incorporate multi-modal…

Machine Learning · Computer Science 2025-05-23 Ziqing Wang , Kexin Zhang , Zihan Zhao , Yibo Wen , Abhishek Pandey , Han Liu , Kaize Ding

With the recent emergence of revolutionary autonomous agentic systems, research community is witnessing a significant shift from traditional static, passive, and domain-specific AI agents toward more dynamic, proactive, and generalizable…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Huanjin Yao , Ruifei Zhang , Jiaxing Huang , Jingyi Zhang , Yibo Wang , Bo Fang , Ruolin Zhu , Yongcheng Jing , Shunyu Liu , Guanbin Li , Dacheng Tao

Autonomous browsing agents powered by large language models (LLMs) are increasingly used to automate web-based tasks. However, their reliance on dynamic content, tool execution, and user-provided data exposes them to a broad attack surface.…

Cryptography and Security · Computer Science 2025-05-20 Mykyta Mudryi , Markiyan Chaklosh , Grzegorz Wójcik

The rapid advancement of large language models (LLMs) has revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimodal content generation. However, the increasing complexity…

Software Engineering · Computer Science 2024-11-27 Shenao Wang , Yanjie Zhao , Xinyi Hou , Haoyu Wang

Large language model (LLM) based agents have recently attracted much attention from the research and industry communities. Compared with original LLMs, LLM-based agents are featured in their self-evolving capability, which is the basis for…

Artificial Intelligence · Computer Science 2024-04-23 Zeyu Zhang , Xiaohe Bo , Chen Ma , Rui Li , Xu Chen , Quanyu Dai , Jieming Zhu , Zhenhua Dong , Ji-Rong Wen

Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. These models far exceed the complexity of conventional neural…

Machine Learning · Computer Science 2024-12-05 Minghao Shao , Abdul Basit , Ramesh Karri , Muhammad Shafique

The rapid development of Large Language Models (LLMs) demonstrates remarkable multilingual capabilities in natural language processing, attracting global attention in both academia and industry. To mitigate potential discrimination and…

Computation and Language · Computer Science 2025-01-08 Kaiyu Huang , Fengran Mo , Xinyu Zhang , Hongliang Li , You Li , Yuanchi Zhang , Weijian Yi , Yulong Mao , Jinchen Liu , Yuzhuang Xu , Jinan Xu , Jian-Yun Nie , Yang Liu

Large Language Models (LLMs), AI-driven models that can achieve general-purpose language understanding and generation, have emerged as a transformative force, revolutionizing fields well beyond Natural Language Processing (NLP) and…

Information Theory · Computer Science 2024-02-27 Ali Maatouk , Nicola Piovesan , Fadhel Ayed , Antonio De Domenico , Merouane Debbah

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potential to make a substantial impact on our society. Such…

Computation and Language · Computer Science 2024-05-24 Zhongwei Wan , Xin Wang , Che Liu , Samiul Alam , Yu Zheng , Jiachen Liu , Zhongnan Qu , Shen Yan , Yi Zhu , Quanlu Zhang , Mosharaf Chowdhury , Mi Zhang

Large Language Models (LLMs) have emerged as transformative tools in artificial intelligence (AI), exhibiting remarkable capabilities across diverse tasks such as text generation, reasoning, and decision-making. While their success has…

The advent of large language models (LLMs) has catalyzed a transformative shift in artificial intelligence, paving the way for advanced intelligent agents capable of sophisticated reasoning, robust perception, and versatile action across…

Large language models (LLMs) are catalyzing the development of autonomous AI research agents for scientific and engineering discovery. We present FM Agent, a novel and general-purpose multi-agent framework that leverages a synergistic…

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

Conversational search enables multi-turn interactions between users and systems to fulfill users' complex information needs. During this interaction, the system should understand the users' search intent within the conversational context…

Information Retrieval · Computer Science 2025-06-13 Fengran Mo , Chuan Meng , Mohammad Aliannejadi , Jian-Yun Nie

This scoping review examines the emerging field of Large Language Model (LLM)-based pedagogical agents in educational settings. While traditional pedagogical agents have been extensively studied, the integration of LLMs represents a…

Artificial Intelligence · Computer Science 2026-05-19 Shan Li , Juan Zheng

Multi-agent large language models (MA-LLMs) are a rapidly growing research area that leverages multiple interacting language agents to tackle complex tasks, outperforming single-agent large language models. This literature review…

Multiagent Systems · Computer Science 2025-06-03 Arne Tillmann

As a primary means of information acquisition, information retrieval (IR) systems, such as search engines, have integrated themselves into our daily lives. These systems also serve as components of dialogue, question-answering, and…

Computation and Language · Computer Science 2025-09-18 Yutao Zhu , Huaying Yuan , Shuting Wang , Jiongnan Liu , Wenhan Liu , Chenlong Deng , Haonan Chen , Zheng Liu , Zhicheng Dou , Ji-Rong Wen

With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are repetitive and time-consuming, negatively impacting overall…

Artificial Intelligence · Computer Science 2025-08-06 Liangbo Ning , Ziran Liang , Zhuohang Jiang , Haohao Qu , Yujuan Ding , Wenqi Fan , Xiao-yong Wei , Shanru Lin , Hui Liu , Philip S. Yu , Qing Li

In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities…

Computation and Language · Computer Science 2024-03-22 Hanieh Alipour , Nick Pendar , Kohinoor Roy
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