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Time series analysis is essential for comprehending the complexities inherent in various realworld systems and applications. Although large language models (LLMs) have recently made significant strides, the development of artificial general…

机器学习 · 计算机科学 2024-06-04 Ming Jin , Yifan Zhang , Wei Chen , Kexin Zhang , Yuxuan Liang , Bin Yang , Jindong Wang , Shirui Pan , Qingsong Wen

Large language models (LLMs) enable researchers to analyze text at unprecedented scale and minimal cost. Researchers can now revisit old questions and tackle novel ones with rich data. We provide an econometric framework for realizing this…

计量经济学 · 经济学 2025-12-08 Jens Ludwig , Sendhil Mullainathan , Ashesh Rambachan

The Large Language Models (LLMs) are poised to offer efficient and intelligent services for future mobile communication networks, owing to their exceptional capabilities in language comprehension and generation. However, the extremely high…

密码学与安全 · 计算机科学 2023-09-07 Haomiao Yang , Kunlan Xiang , Mengyu Ge , Hongwei Li , Rongxing Lu , Shui Yu

Large Language Models (LLMs) have recently developed new advanced functionalities. Their effectiveness relies on statistical learning and generalization capabilities. However, they face limitations in internalizing the data they process and…

机器学习 · 计算机科学 2026-01-14 Farah Ben Slama , Frédéric Armetta

Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and heterogeneous environments. While traditional engineering…

人工智能 · 计算机科学 2025-12-10 Muhammad Monjurul Karim , Yan Shi , Shucheng Zhang , Bingzhang Wang , Mehrdad Nasri , Yinhai Wang

Large language models (LLMs) hold promise for transforming healthcare, from streamlining administrative and clinical workflows to enriching patient engagement and advancing clinical decision-making. However, their successful integration…

计算机与社会 · 计算机科学 2025-04-04 Mohammed Al-Garadi , Tushar Mungle , Abdulaziz Ahmed , Abeed Sarker , Zhuqi Miao , Michael E. Matheny

Artificial intelligence is making spectacular progress, and one of the best examples is the development of large language models (LLMs) such as OpenAI's GPT series. In these lectures, written for readers with a background in mathematics or…

计算与语言 · 计算机科学 2023-10-09 Michael R. Douglas

The integration of Large Language Models (LLMs) into medical applications has sparked widespread interest across the healthcare industry, from drug discovery and development to clinical decision support, assisting telemedicine, medical…

计算与语言 · 计算机科学 2024-12-03 Zifeng Wang , Hanyin Wang , Benjamin Danek , Ying Li , Christina Mack , Hoifung Poon , Yajuan Wang , Pranav Rajpurkar , Jimeng Sun

Large language models (LLMs) and multimodal models have become powerful general-purpose reasoning systems. However, radio-frequency (RF) signals, which underpin wireless systems, are still not natively supported by these models. Existing…

信号处理 · 电气工程与系统科学 2026-02-17 Hang Zou , Yu Tian , Bohao Wang , Lina Bariah , Samson Lasaulce , Chongwen Huang , Mérouane Debbah

Large Language Models (LLMs) are rapidly reshaping machine translation (MT), particularly by introducing instruction-following, in-context learning, and preference-based alignment into what has traditionally been a supervised…

计算与语言 · 计算机科学 2026-04-29 Baban Gain , Dibyanayan Bandyopadhyay , Asif Ekbal , Trilok Nath Singh

Large language models (LLM) have revolutionized the processing of natural language. Although first benchmarks of the process modeling abilities of LLM are promising, it is currently under debate to what extent an LLM can generate good…

计算与语言 · 计算机科学 2025-03-19 Peter Fettke , Constantin Houy

With extensive pre-trained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects such as multi-task learning, sample efficiency, and…

机器学习 · 计算机科学 2024-11-21 Yuji Cao , Huan Zhao , Yuheng Cheng , Ting Shu , Yue Chen , Guolong Liu , Gaoqi Liang , Junhua Zhao , Jinyue Yan , Yun Li

Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) by automating traditional labor-intensive tasks and consequently accelerated the development of computer-aided applications. As researchers…

计算与语言 · 计算机科学 2025-06-24 Summra Saleem , Muhammad Nabeel Asim , Shaista Zulfiqar , Andreas Dengel

Large Language Models (LLMs) have achieved remarkable success across a wide range of natural language tasks, and recent efforts have sought to extend their capabilities to multimodal domains and resource-constrained environments. However,…

机器学习 · 计算机科学 2025-05-26 Yun-Da Tsai

With the rapid advancement of large language models (LLMs) and robotics, service robots are increasingly becoming an integral part of daily life, offering a wide range of services in complex environments. To deliver these services…

机器人学 · 计算机科学 2025-10-28 Shaohan Bian , Ying Zhang , Guohui Tian , Zhiqiang Miao , Edmond Q. Wu , Simon X. Yang , Changchun Hua

With the advent of Fifth Generation (5G) and Sixth Generation (6G) communication technologies, as well as the Internet of Things (IoT), semantic communication is gaining attention among researchers as current communication technologies are…

网络与互联网体系结构 · 计算机科学 2024-07-31 Alakesh Kalita

In the past year, MultiModal Large Language Models (MM-LLMs) have undergone substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs via cost-effective training strategies. The resulting models not only…

计算与语言 · 计算机科学 2024-05-29 Duzhen Zhang , Yahan Yu , Jiahua Dong , Chenxing Li , Dan Su , Chenhui Chu , Dong Yu

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

人机交互 · 计算机科学 2024-04-10 M. Namvarpour , A. Razi

AI agents based on multimodal large language models (LLMs) are expected to revolutionize human-computer interaction and offer more personalized assistant services across various domains like healthcare, education, manufacturing, and…

人工智能 · 计算机科学 2024-02-20 Minrui Xu , Dusit Niyato , Jiawen Kang , Zehui Xiong , Shiwen Mao , Zhu Han , Dong In Kim , Khaled B. Letaief

Large Language Models (LLMs) are transforming artificial intelligence, enabling autonomous agents to perform diverse tasks across various domains. These agents, proficient in human-like text comprehension and generation, have the potential…

人工智能 · 计算机科学 2024-04-10 Saikat Barua