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The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionizing education, research, and practice. However, distinguishing between human-written and AI-generated text has become…

Computation and Language · Computer Science 2023-11-14 Kadhim Hayawi , Sakib Shahriar , Sujith Samuel Mathew

How will generative AI pay for itself? Unless charging users for access, selling advertising is the only alternative. Especially in the multi-billion dollar web search market with ads as the main source of revenue, the introduction of a…

Information Retrieval · Computer Science 2023-10-10 Ines Zelch , Matthias Hagen , Martin Potthast

Generative AI systems have entered everyday academic, professional, and personal life with remarkable speed, yet most users encounter them as mysterious artifacts rather than intelligible systems. This chapter discusses large language…

Computers and Society · Computer Science 2026-04-21 John T. Behrens

The rapid advancements in large language models and generative artificial intelligence (AI) capabilities are making their broad application in the high-stakes testing context more likely. Use of generative AI in the scoring of constructed…

Computation and Language · Computer Science 2026-03-23 Jodi M. Casabianca , Daniel F. McCaffrey , Matthew S. Johnson , Naim Alper , Vladimir Zubenko

This full research paper investigates the impact of generative AI (GenAI) on the learner experience, with a focus on how learners engage with and utilize the information it provides. In e-learning environments, learners often need to…

Human-Computer Interaction · Computer Science 2026-01-21 Hannah Kim , Sergei L. Kosakovsky Pond , Stephen MacNeil

The advancements in Generative Artificial Intelligence (GenAI) provide opportunities to enrich educational experiences, but also raise concerns about academic integrity. Many educators have expressed anxiety and hesitation in integrating…

Computation and Language · Computer Science 2024-07-15 Hui Wang , Anh Dang , Zihao Wu , Son Mac

Artificial Intelligence (AI) and large language models (LLMs) are increasingly used in social and psychological research. Among potential applications, LLMs can be used to generate, customise, or adapt measurement instruments. This study…

Human-Computer Interaction · Computer Science 2026-02-16 Mario Angelelli , Morena Oliva , Serena Arima , Enrico Ciavolino

The emergence of Generative AI (Gen AI) has motivated an interest in understanding how it could be used to enhance productivity across various tasks. We add to research results for the performance impact of Gen AI on complex knowledge-based…

General Finance · Quantitative Finance 2025-02-14 Trevor Fitzpatrick , Seamus Kelly , Patrick Carey , David Walsh , Ruairi Nugent

We introduce generative interpretation, a new approach to estimating contractual meaning using large language models. As AI triumphalism is the order of the day, we proceed by way of grounded case studies, each illustrating the capabilities…

Computation and Language · Computer Science 2023-08-15 Yonathan A. Arbel , David Hoffman

Objective: Information retrieval (IR, also known as search) systems are ubiquitous in modern times. How does the emergence of generative artificial intelligence (AI), based on large language models (LLMs), fit into the IR process? Process:…

Information Retrieval · Computer Science 2025-01-20 William R. Hersh

Agentic Artificial Intelligence (AI) builds upon Generative AI (GenAI). It constitutes the next major step in the evolution of AI with much stronger reasoning and interaction capabilities that enable more autonomous behavior to tackle…

Artificial Intelligence · Computer Science 2025-04-29 Johannes Schneider

This paper explores the utility of a Large Language Model (LLM) to automatically generate queries and query variants from a description of an information need. Given a set of information needs described as backstories, we explore how…

Information Retrieval · Computer Science 2025-01-31 Marwah Alaofi , Luke Gallagher , Mark Sanderson , Falk Scholer , Paul Thomas

Large Language Models (LLMs) have demonstrated remarkable zero-shot generalization across various language-related tasks, including search engines. However, existing work utilizes the generative ability of LLMs for Information Retrieval…

Computation and Language · Computer Science 2024-12-31 Weiwei Sun , Lingyong Yan , Xinyu Ma , Shuaiqiang Wang , Pengjie Ren , Zhumin Chen , Dawei Yin , Zhaochun Ren

This study investigates the impact of Large Language Models (LLMs) generating follow-up questions in response to user requests for short (1-page) text documents. Users interacted with a novel web-based AI system designed to ask follow-up…

Computation and Language · Computer Science 2024-08-16 Bernadette J Tix

This study compares the performance of AI-generated and human-written product descriptions using a multifaceted evaluation model. We analyze descriptions for 100 products generated by four AI models (Gemma 2B, LLAMA, GPT2, and ChatGPT 4)…

Computation and Language · Computer Science 2024-12-30 Sanjukta Ghosh

Large language models (LLMs) have triggered tremendous success to empower our daily life by generative information. The personalization of LLMs could further contribute to their applications due to better alignment with human intents.…

Machine Learning · Computer Science 2024-03-12 Yuxuan Chen , Rongpeng Li , Zhifeng Zhao , Chenghui Peng , Jianjun Wu , Ekram Hossain , Honggang Zhang

Since decades, the modelling of metadata has been core to the functioning of any academic library. Its importance has only enhanced with the increasing pervasiveness of Generative Artificial Intelligence (AI)-driven information activities…

Digital Libraries · Computer Science 2025-03-18 Mayukh Bagchi

The rapid adoption of Generative AI, including LLM-based chatbots like ChatGPT, has highlighted the need for accessible ways to support public understanding and AI literacy. To address this need, we introduce a game-based, interactive…

Computation and Language · Computer Science 2026-05-21 Francesca Padovani , Malvina Nissim

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

Large Language Models (LLMs) are being integrated into professional domains, yet their limitations in such high-stakes fields as law remain poorly understood. In response, this paper introduces examples of critical challenges to the…

Artificial Intelligence · Computer Science 2026-01-27 Eljas Linna , Tuula Linna
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