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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

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 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

The advent of Large Language Models (LLMs) and generative AI is fundamentally transforming information retrieval and processing on the Internet, bringing both great potential and significant concerns regarding content authenticity and…

Information Retrieval · Computer Science 2026-02-12 Michele Garetto , Alessandro Cornacchia , Franco Galante , Emilio Leonardi , Alessandro Nordio , Alberto Tarable

By employing large language models (LLMs) to retrieve documents and generate natural language responses, Generative Engines, such as Google AI overview and ChatGPT, provide significantly enhanced user experiences and have rapidly become the…

Information Retrieval · Computer Science 2025-10-14 Yujiang Wu , Shanshan Zhong , Yubin Kim , Chenyan Xiong

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

As more content generated by large language models (LLMs) floods into the Internet, information retrieval (IR) systems now face the challenge of distinguishing and handling a blend of human-authored and machine-generated texts. Recent…

Information Retrieval · Computer Science 2025-08-26 Wei Huang , Keping Bi , Yinqiong Cai , Wei Chen , Jiafeng Guo , Xueqi Cheng

Generative AI (genAI) technologies -- specifically, large language models (LLMs) -- and search have evolving relations. We argue for a novel perspective: using genAI to enrich a document corpus so as to improve query-based retrieval…

Information Retrieval · Computer Science 2025-06-09 Gal Zur , Tommy Mordo , Moshe Tennenholtz , Oren Kurland

The proliferation of AI-powered search engines has shifted information discovery from traditional link-based retrieval to direct answer generation with selective source citation, creating new challenges for content visibility. While…

Computation and Language · Computer Science 2026-04-01 Junwei Yu , Mufeng Yang , Yepeng Ding , Hiroyuki Sato

The rapid adoption of generative AI-powered search engines like ChatGPT, Perplexity, and Gemini is fundamentally reshaping information retrieval, moving from traditional ranked lists to synthesized, citation-backed answers. This shift…

Information Retrieval · Computer Science 2025-09-15 Mahe Chen , Xiaoxuan Wang , Kaiwen Chen , Nick Koudas

The rise of Generative AI Search is fundamentally transforming how users and intelligent systems interact with the Internet. LLMs increasingly act as intermediaries between humans and web information. Yet the web remains optimized for human…

Networking and Internet Architecture · Computer Science 2025-11-25 Muhammad Bilal , Zafar Qazi , Marco Canini

The rise of generative AI as a primary information source presents a paradigm shift from traditional web search. This paper presents a large-scale empirical study quantifying the fundamental differences between the results returned by…

Information Retrieval · Computer Science 2026-05-19 Mahe Chen , Xiaoxuan Wang , Kaiwen Chen , Nick Koudas

The ubiquity of multimedia content is reshaping online information spaces, particularly in social media environments. At the same time, search is being rapidly transformed by generative AI, with large language models (LLMs) routinely…

Computers and Society · Computer Science 2026-03-23 Anders Giovanni Møller , Elisa Bassignana , Francesco Pierri , Luca Maria Aiello

Generative search systems are increasingly replacing link-based retrieval with AI-generated summaries, yet little is known about how these systems differ in sources, language, and fidelity to cited material. We examine responses to 11,000…

Information Retrieval · Computer Science 2026-03-18 Michelle Huang , Agam Goyal , Koustuv Saha , Eshwar Chandrasekharan

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

Generative AI models differ from traditional machine learning tools in that they allow users to provide as much or as little information as they choose in their inputs. This flexibility often leads users to omit certain details, relying on…

Computer Science and Game Theory · Computer Science 2026-05-13 Charlotte Park , Kate Donahue , Manish Raghavan

Large Language Models are fundamentally reshaping content discovery through AI-native search systems such as ChatGPT, Gemini, and Claude. Unlike traditional search engines that match keywords to documents, these systems infer user intent,…

Artificial Intelligence · Computer Science 2026-02-04 Faye Zhang , Qianyu Cheng , Jasmine Wan , Vishwakarma Singh , Jinfeng Rao , Kofi Boakye

Until recently, search engines were the predominant method for people to access online information. The recent emergence of large language models (LLMs) has given machines new capabilities such as the ability to generate new digital…

AI and generative AI tools, including chatbots like ChatGPT that rely on large language models (LLMs), have burst onto the scene this year, creating incredible opportunities to increase work productivity and improve our lives. Statisticians…

Computation and Language · Computer Science 2024-03-27 Mark Glickman , Yi Zhang

The development of Generative AI Large Language Models (LLMs) raised the alarm regarding identifying content produced through generative AI or humans. In one case, issues arise when students heavily rely on such tools in a manner that can…

Computation and Language · Computer Science 2025-01-07 Ayat Najjar , Huthaifa I. Ashqar , Omar Darwish , Eman Hammad
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