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This is an opinion paper regarding a proposal of a model for a Ecosystemm Governance. In the globalized world the importance of Information Systems (IS) and Information Technology (IT) become increasingly relevant regarding the requirements…

Other Computer Science · Computer Science 2012-09-13 Antonio J. Balloni , Adalberto Mantovani Martiniano de Azevedo , Marco Antonio Silveira

Modern information retrieval (IR) is no longer consumed primarily by humans but increasingly by large language models (LLMs) via retrieval-augmented generation (RAG) and agentic search. Unlike human users, LLMs are constrained by limited…

Information Retrieval · Computer Science 2026-05-19 Lu Dai , Liang Sun , Fanpu Cao , Ziyang Rao , Cehao Yang , Hao Liu , Hui Xiong

Modern information retrieval systems, including web search, ads placement, and recommender systems, typically rely on learning from user feedback. Click models, which study how users interact with a ranked list of items, provide a useful…

Information Retrieval · Computer Science 2021-04-20 Xinyi Dai , Jianghao Lin , Weinan Zhang , Shuai Li , Weiwen Liu , Ruiming Tang , Xiuqiang He , Jianye Hao , Jun Wang , Yong Yu

Machine learning continues to grow in popularity in academia, in industry, and is increasingly used in other fields. However, most of the common metrics used to evaluate even simple binary classification models have shortcomings that are…

Machine Learning · Computer Science 2024-12-25 David H. Brown , Davide Chicco

Traditional sociotechnical systems (STS) theory has been widely used, but there are many new characteristics in the STS environment as we enter the intelligence era, resulting in the limitations of traditional STS. Based on the…

Human-Computer Interaction · Computer Science 2023-03-07 Wei Xu

LLMs increasingly serve as tools for knowledge acquisition, yet users cannot effectively specify how they want information presented. When users request that LLMs "cite reputable sources," "express appropriate uncertainty," or "include…

Human-Computer Interaction · Computer Science 2025-04-03 Nicholas Clark , Hua Shen , Bill Howe , Tanushree Mitra

Information extraction (IE) is a fundamental area in natural language processing where prompting large language models (LLMs), even with in-context examples, cannot defeat small LMs tuned on very small IE datasets. We observe that IE tasks,…

Computation and Language · Computer Science 2024-04-02 Letian Peng , Zilong Wang , Feng Yao , Zihan Wang , Jingbo Shang

Little research has explored how information engagement (IE), the degree to which individuals interact with and use information in a manner that manifests cognitively, behaviorally, and affectively. This study explored the impact of…

Computation and Language · Computer Science 2023-05-18 Nimrod Dvir , Elaine Friedman , Suraj Commuri , Fan Yang , Jennifer Romano

Accurate visual understanding is imperative for advancing autonomous systems and intelligent robots. Despite the powerful capabilities of vision-language models (VLMs) in processing complex visual scenes, precisely recognizing obscured or…

Computer Vision and Pattern Recognition · Computer Science 2024-06-03 Huaxiang Zhang , Yaojia Mu , Guo-Niu Zhu , Zhongxue Gan

The advent of increasingly powerful language models has raised expectations for language-based interactions. However, controlling these models is a challenge, emphasizing the need to be able to investigate the feasibility and value of their…

Modern technology driven information systems are part of our daily lives. However, this deep integration poses new challenges to the human computer interaction (HCI) professionals. With the rapid growth of mobile and cloud computing and the…

Human-Computer Interaction · Computer Science 2026-03-30 Rajan Das Gupta , Ashikur Rahman , Md Imrul Hasan Showmick , Md. Yeasin Rahat , Md. Jakir Hossen

Large language models (LLMs) have advanced the field of artificial intelligence (AI) and are a powerful enabler for interactive systems. However, they still face challenges in long-term interactions that require adaptation towards the user…

Artificial Intelligence · Computer Science 2025-05-20 Rebecca Westhäußer , Frederik Berenz , Wolfgang Minker , Sebastian Zepf

Large language models (LLMs) have achieved significant advancements in reasoning capabilities through reinforcement learning (RL) via environmental exploration. As the intrinsic properties of the environment determine the abilities that…

Computation and Language · Computer Science 2026-05-04 Peng Yu , Zeyuan Zhao , Shao Zhang , Luoyi Fu , Xinbing Wang , Ying Wen

Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can not be fully retraced. This is caused by a control flow depending…

Computers and Society · Computer Science 2021-04-30 Michael Guckert , Nils Gumpfer , Jennifer Hannig , Till Keller , Neil Urquhart

The digital realm has witnessed the rise of various search modalities, among which the Image-Based Conversational Search System stands out. This research delves into the design, implementation, and evaluation of this specific system,…

Information Retrieval · Computer Science 2024-04-01 Yue Zheng , Lei Yu , Junmian Chen , Tianyu Xia , Yuanyuan Yin , Shan Wang , Haiming Liu

Humans often rely on underlying structural patterns-schemas-to create, whether by writing stories, designing software, or composing music. Schemas help organize ideas and guide exploration, but they are often difficult to discover and…

Human-Computer Interaction · Computer Science 2025-08-08 Sitong Wang

Our world today is facing a confluence of several mutually reinforcing crises each of which intersects with concerns of social justice and emancipation. This paper is a provocation for the role of computer-mediated information access in our…

Information Retrieval · Computer Science 2025-12-16 Bhaskar Mitra

The Web has become a potentially infinite information resource, turning into an essential tool for many daily activities. This resulted in an increase in the amount of information available in users' contexts that is not taken into account…

Information Retrieval · Computer Science 2018-10-11 Carlos M. Lorenzetti

This article firstly reviews and summarizes the rapid development of information technology, characterized by the close combination of computer and network communication, which leads to a series of investigations, including the analyses of…

Information Theory · Computer Science 2022-03-10 Jianfeng Xu , Zhenyu Liu , Shuliang Wang , Tao Zheng , Yashi Wang , Yingfei Wang , Yongjie Qiao , Yingxu Dang

Modern Language Models (LMs) are capable of following long and complex instructions that enable a large and diverse set of user requests. While Information Retrieval (IR) models use these LMs as the backbone of their architectures,…

Information Retrieval · Computer Science 2024-05-08 Orion Weller , Benjamin Chang , Sean MacAvaney , Kyle Lo , Arman Cohan , Benjamin Van Durme , Dawn Lawrie , Luca Soldaini
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