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Generative AI (GenAI) is increasingly used in survey contexts to simulate human preferences. While many research endeavors evaluate the quality of synthetic GenAI data by comparing model-generated responses to gold-standard survey results,…

机器学习 · 计算机科学 2025-02-25 Sarah Ball , Simeon Allmendinger , Frauke Kreuter , Niklas Kühl

This demonstration showcases the integration of a lightweight, locally deployed Large Language Model (LLaMA-3 8b Q-4b) empowered by retrieval augmented generation (RAG) to automate 5G network management, with a strong emphasis on privacy.…

网络与互联网体系结构 · 计算机科学 2025-11-27 Ahmadreza Majlesara , Ali Majlesi , Ali Mamaghani , Alireza Shokrani , Babak Hossein Khalaj

Artificial Intelligence (AI) is increasingly being integrated into scientific research, particularly in the social sciences, where understanding human behavior is critical. Large Language Models (LLMs) have shown promise in replicating…

计算与语言 · 计算机科学 2025-06-23 Ziyan Cui , Ning Li , Huaikang Zhou

Generative AI (GenAI) has enormous potential for improving two critical areas in investing, namely portfolio optimization (choosing the best combination of assets) and risk management (protecting those investments). Our study works at this…

计算工程、金融与科学 · 计算机科学 2025-12-16 Abrar Hossain , Mufakir Qamar Ansari , Haziq Jeelani , Monia Digra , Fayeq Jeelani Syed

Formative assessment is a cornerstone of effective teaching and learning, providing students with feedback to guide their learning. While there has been an exponential growth in the application of generative AI in scaling various aspects of…

计算机与社会 · 计算机科学 2025-06-03 Sapolnach Prompiengchai , Charith Narreddy , Steve Joordens

As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG) can offer reliable and up-to-date external knowledge, providing huge convenience for numerous tasks. Particularly in the era of AI-Generated Content (AIGC),…

计算与语言 · 计算机科学 2024-06-18 Wenqi Fan , Yujuan Ding , Liangbo Ning , Shijie Wang , Hengyun Li , Dawei Yin , Tat-Seng Chua , Qing Li

As organizations scale adoption of generative AI, model cost optimization and operational efficiency have emerged as critical factors determining sustainability and accessibility. While Large Language Models (LLMs) demonstrate impressive…

人工智能 · 计算机科学 2026-03-11 Polaris Jhandi , Owais Kazi , Shreyas Subramanian , Neel Sendas

As generative artificial intelligence advances, Large Language Models (LLMs) are being explored for automated graphical user interface (GUI) design. This study investigates the usability and adaptability of LLM-generated interfaces by…

人机交互 · 计算机科学 2026-02-02 Bartosz Sawicki , Tomasz Les , Dariusz Parzych , Aleksandra Wycisk-Ficek , Pawel Trebacz , Pawel Zawadzki

Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), offer powerful capabilities for interpreting the complex data landscape in healthcare. In this paper, we present a comprehensive overview of the…

Large Language Models (LLMs), characterized by being trained on broad amounts of data in a self-supervised manner, have shown impressive performance across a wide range of tasks. Indeed, their generative abilities have aroused interest on…

机器学习 · 计算机科学 2024-07-30 Jorge García-Carrasco , Alejandro Maté , Juan Trujillo

Large language models (LLMs) have achieved record adoption in a short period of time across many different sectors including high importance areas such as education [4] and healthcare [23]. LLMs are open-ended models trained on diverse data…

密码学与安全 · 计算机科学 2024-12-24 Herve Debar , Sven Dietrich , Pavel Laskov , Emil C. Lupu , Eirini Ntoutsi

Large Language Models (LLMs) such as Gemma-2B have shown strong performance in various natural language processing tasks. However, general-purpose models often lack the domain expertise required for cybersecurity applications. This work…

密码学与安全 · 计算机科学 2026-01-13 Vasanth Iyer , Leonardo Bobadilla , S. S. Iyengar

Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems.…

The AI era has ushered in Large Language Models (LLM) to the technological forefront, which has been much of the talk in 2023, and is likely to remain as such for many years to come. LLMs are the AI models that are the power house behind…

密码学与安全 · 计算机科学 2026-01-22 Anjanava Biswas , Wrick Talukdar

Large language models (LLMs) have achieved remarkable performance on diverse benchmarks, yet existing evaluation practices largely rely on coarse summary metrics that obscure underlying reasoning abilities. In this work, we propose novel…

统计方法学 · 统计学 2026-03-17 Jia Liu , Zhiyu Xu , Yuqi Gu

Generative AI (GenAI) models, particularly large language models (LLMs), have transformed multiple domains, including natural language processing, software analysis, and code understanding. Their ability to analyze and generate code has…

软件工程 · 计算机科学 2025-11-18 Mohammad Meymani , Hamed Jelodar , Parisa Hamedi , Roozbeh Razavi-Far , Ali A. Ghorbani

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

计算与语言 · 计算机科学 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu

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…

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Recent developments in large language models (LLMs) have unlocked new opportunities for healthcare, from information synthesis to clinical decision support. These new LLMs are not just capable of modeling language, but can also act as…