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Community-based moderation offers a scalable alternative to centralized fact-checking, yet it faces significant structural challenges, and existing AI-based methods fail in "cold start" scenarios. To tackle these challenges, we introduce…

Computation and Language · Computer Science 2026-02-10 Sahajpreet Singh , Kokil Jaidka , Min-Yen Kan

Generative Artificial Intelligence (Generative AI) holds significant promise in reshaping interactive systems design, yet its potential across the four key phases of human-centered design remains underexplored. This article addresses this…

Human-Computer Interaction · Computer Science 2024-11-06 Marie Muehlhaus , Jürgen Steimle

The widespread availability of search API's (both free and commercial) brings the promise of increased coverage and quality of search results for metasearch engines, while decreasing the maintenance costs of the crawling and indexing…

Information Retrieval · Computer Science 2022-10-27 Thales Sales Almeida , Thiago Laitz , João Seródio , Luiz Henrique Bonifacio , Roberto Lotufo , Rodrigo Nogueira

We present GenEx, a generative model to explain search results to users beyond just showing matches between query and document words. Adding GenEx explanations to search results greatly impacts user satisfaction and search performance.…

Information Retrieval · Computer Science 2021-11-03 Razieh Rahimi , Youngwoo Kim , Hamed Zamani , James Allan

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

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

Recent advancements in Natural Language Processing (NLP) have led to the development of NLP-based recommender systems that have shown superior performance. However, current models commonly treat items as mere IDs and adopt discriminative…

Information Retrieval · Computer Science 2023-04-11 Jinming Li , Wentao Zhang , Tian Wang , Guanglei Xiong , Alan Lu , Gerard Medioni

Conversational interfaces that allow for intuitive and comprehensive access to digitally stored information remain an ambitious goal. In this thesis, we lay foundations for designing conversational search systems by analyzing the…

Information Retrieval · Computer Science 2019-12-17 Svitlana Vakulenko

Large language models (LLMs) are transforming web search by shifting from document ranking to synthesizing answers, and are increasingly deployed as autonomous agentic search systems that iteratively interact with external knowledge…

Computation and Language · Computer Science 2026-05-19 Guangzhi Xiong , Qiao Jin , Xiao Wang , Yin Fang , Haolin Liu , Yifan Yang , Fangyuan Chen , Zhixing Song , Dengyu Wang , Minjia Zhang , Zhiyong Lu , Aidong Zhang

Generative AI systems such as ChatGPT challenge traditional assumptions about academic assessment by enabling students to generate explanations, code, and solutions in real time. Rather than attempting to restrict AI use, this study…

Computers and Society · Computer Science 2026-05-13 Qusay H. Mahmoud

Generative AI (GenAI) search tools are increasingly used for information seeking, yet their design tends to encourage cognitive offloading, which may lead to passive engagement, selective attention, and informational homogenization.…

Human-Computer Interaction · Computer Science 2026-03-23 Anjali Singh , Karan Taneja , Zhitong Guan , Soo Young Rieh

Large Language Models (LLMs) increasingly power generative search engines which, in turn, drive human information seeking and decision making at scale. The extent to which humans trust generative artificial intelligence (GenAI) can…

Computers and Society · Computer Science 2025-04-10 Haiwen Li , Sinan Aral

While generative AI excels in content generation, it does not always increase user engagement. This can be attributed to two main factors. First, generative AI generates content without incorporating explicit or implicit feedback about user…

Human-Computer Interaction · Computer Science 2023-12-21 Jingying Zeng , Jaewon Yang , Waleed Malik , Xiao Yan , Richard Huang , Qi He

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

Generative Artificial Intelligence (Generative AI) is a collection of AI technologies that can generate new information such as texts and images. With its strong capabilities, Generative AI has been actively studied in creative design…

Human-Computer Interaction · Computer Science 2025-02-04 Liuging Chen , Yaxuan Song , Jia Guo , Lingyun Sun , Peter Childs , Yuan Yin

Existing automated research systems operate as stateless, linear pipelines -- generating outputs without maintaining any persistent understanding of the research landscape they navigate. They process papers sequentially, propose ideas…

Artificial Intelligence · Computer Science 2026-03-27 Yunbo Long

The session search task aims at best serving the user's information need given her previous search behavior during the session. We propose an extended relevance model that captures the user's dynamic information need in the session. Our…

Information Retrieval · Computer Science 2017-06-08 Nir Levine , Haggai Roitman , Doron Cohen

With rapid advancements in artificial intelligence, question-answering (Q&A) systems have become essential in intelligent search engines, virtual assistants, and customer service platforms. However, in dynamic domains like smart grids,…

Computation and Language · Computer Science 2025-02-24 Yunfeng Li , Jiqun Zhang , Guofu Liao , Xue Shi , Junhong Liu

The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR). Distinguished from its predecessors, ChatGPT offers significant benefits that have attracted…

Information Retrieval · Computer Science 2024-04-18 Yizheng Huang , Jimmy Huang

When you have a question, the most effective way to have the question answered is to directly connect with experts on the topic and have a conversation with them. Prior to the invention of writing, this was the only way. Although effective,…

Information Retrieval · Computer Science 2024-12-30 Jimmy Lin , Pankaj Gupta , Will Horn , Gilad Mishne