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Large Language Models (LLMs) are rapidly reshaping information retrieval by enabling interactive, generative, and inference-driven search. While traditional keyword-based search remains central to web and academic information access, it…

Information Retrieval · Computer Science 2025-12-02 Zhitong Guan , Yi Wang

In the domain of digital information dissemination, search engines act as pivotal conduits linking information seekers with providers. The advent of chat-based search engines utilizing Large Language Models (LLMs) and Retrieval Augmented…

Information Retrieval · Computer Science 2024-03-01 Lijia Ma , Xingchen Xu , Yong Tan

The advent of LLMs has given rise to a new type of web search: Generative search, where LLMs retrieve web pages related to a query and generate a single, coherent text as a response. This output modality stands in stark contrast to…

Information Retrieval · Computer Science 2025-10-14 Elisabeth Kirsten , Jost Grosse Perdekamp , Mihir Upadhyay , Krishna P. Gummadi , Muhammad Bilal Zafar

Large language models (LLMs) are rapidly changing learning processes, as they are readily available to students and quickly complete or augment several learning-related activities with non-trivial performance. Such major shifts in learning…

Human-Computer Interaction · Computer Science 2024-09-23 Rahul R. Divekar , Sophia Guerra , Lisette Gonzalez , Natasha Boos

Large language models (LLMs) are transforming how students learn by providing readily available tools that can quickly augment or complete various learning activities with non-trivial performance. Similar paradigm shifts have occurred in…

Human-Computer Interaction · Computer Science 2025-07-29 Rahul R. Divekar , Sophia Guerra , Lisette Gonzalez , Natasha Boos , Helen Zhou

Large Language Models (LLMs) have introduced a paradigm shift in interaction with AI technology, enabling knowledge workers to complete tasks by specifying their desired outcome in natural language. LLMs have the potential to increase…

Human-Computer Interaction · Computer Science 2025-03-24 Michelle Brachman , Amina El-Ashry , Casey Dugan , Werner Geyer

Generative search engines have the potential to transform how people seek information online, but generated responses from existing large language models (LLMs)-backed generative search engines may not always be accurate. Nonetheless,…

Computation and Language · Computer Science 2024-03-20 Xuming Hu , Xiaochuan Li , Junzhe Chen , Yinghui Li , Yangning Li , Xiaoguang Li , Yasheng Wang , Qun Liu , Lijie Wen , Philip S. Yu , Zhijiang Guo

The advent of large language models (LLMs) has ushered in a new paradigm of search engines that use generative models to gather and summarize information to answer user queries. This emerging technology, which we formalize under the unified…

Machine Learning · Computer Science 2024-07-01 Pranjal Aggarwal , Vishvak Murahari , Tanmay Rajpurohit , Ashwin Kalyan , Karthik Narasimhan , Ameet Deshpande

Large Language Model (LLM)-based applications are graduating from research prototypes to products serving millions of users, influencing how people write and consume information. A prominent example is the appearance of Answer Engines:…

Information Retrieval · Computer Science 2024-10-31 Pranav Narayanan Venkit , Philippe Laban , Yilun Zhou , Yixin Mao , Chien-Sheng Wu

Large Language Models (LLMs) may one day replace search engines as the primary portal to information on the Web. In this article, we investigate the societal challenges that such a change could bring. We focus on the roles of LLM Providers,…

Computers and Society · Computer Science 2025-12-11 Zacchary Sadeddine , Winston Maxwell , Gaël Varoquaux , Fabian M. Suchanek

Generative AI tools such as chatGPT are poised to change the way people engage with online information. Recently, Microsoft announced their "new Bing" search system which incorporates chat and generative AI technology from OpenAI. Google…

Human-Computer Interaction · Computer Science 2023-07-11 Robert Capra , Jaime Arguello

Generative search engines (GEs) leverage large language models (LLMs) to deliver AI-generated summaries with website citations, establishing novel traffic acquisition channels while fundamentally altering the search engine optimization…

Information Retrieval · Computer Science 2025-09-19 Lijia Ma , Juan Qin , Xingchen Xu , Yong Tan

The dissemination of false information on online platforms presents a serious societal challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) offer promising opportunities to support fact-checkers with their…

Computation and Language · Computer Science 2024-10-31 Ivan Vykopal , Matúš Pikuliak , Simon Ostermann , Marián Šimko

As a cornerstone of modern information access, search engines have become indispensable in everyday life. With the rapid advancements in AI and natural language processing (NLP) technologies, particularly large language models (LLMs),…

Computation and Language · Computer Science 2025-08-07 Fengran Mo , Kelong Mao , Ziliang Zhao , Hongjin Qian , Haonan Chen , Yiruo Cheng , Xiaoxi Li , Yutao Zhu , Zhicheng Dou , Jian-Yun Nie

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

his paper explores what kinds of questions are best served by the way generative AI (GenAI) using Large Language Models(LLMs) that aggregate and package knowledge, and when traditional curated web-sourced search results serve users better.…

Human-Computer Interaction · Computer Science 2024-10-17 Ted Selker , Yunzi Wu

Although there has been a growing interest among industries in integrating generative LLMs into their services, limited experience and scarcity of resources act as a barrier in launching and servicing large-scale LLM-based services. In this…

Large language models (LLMs) powered conversational search systems have already been used by hundreds of millions of people, and are believed to bring many benefits over conventional search. However, while decades of research and public…

Computation and Language · Computer Science 2024-02-13 Nikhil Sharma , Q. Vera Liao , Ziang Xiao

In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now developing the habit of issuing long and complex natural…

Information Retrieval · Computer Science 2025-01-03 Xin Yang , Rachel Zheng , Madhumitha Mohan , Sonali Bhadra , Pansul Bhatt , Lingyu , Zhang , Rupesh Gupta

This paper investigates the potential of AI models, particularly large language models (LLMs), to support knowledge exploration and augment human creativity during ideation. We present "Latent Lab" an interactive tool for discovering…

Artificial Intelligence · Computer Science 2023-11-23 Kevin Dunnell , Trudy Painter , Andrew Stoddard , Andy Lippman
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