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Despite the growing integration of retrieval-enabled AI agents into society, their safety and ethical behavior remain inadequately understood. In particular, the integration of LLMs and AI agents with external information sources and…

Computers and Society · Computer Science 2025-10-27 Cheng Yu , Benedikt Stroebl , Diyi Yang , Orestis Papakyriakopoulos

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

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…

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

Querying, conversing, and controlling search and information-seeking interfaces using natural language are fast becoming ubiquitous with the rise and adoption of large-language models (LLM). In this position paper, we describe a generic…

Information Retrieval · Computer Science 2023-06-29 Avishek Anand , Venktesh V , Abhijit Anand , Vinay Setty

Classical search engines using indexing methods in data infrastructures primarily allow keyword-based queries to retrieve content. While these indexing-based methods are highly scalable and efficient, due to a lack of an appropriate…

Information Retrieval · Computer Science 2025-09-30 Nafis Tanveer Islam , Zhiming Zhao

Both named entities and keywords are important in defining the content of a text in which they occur. In particular, people often use named entities in information search. However, named entities have ontological features, namely, their…

Information Retrieval · Computer Science 2018-07-17 Tru H. Cao , Vuong M. Ngo

Artificial intelligence (AI) is transforming the practice of science. Machine learning and large language models (LLMs) can generate hypotheses at a scale and speed far exceeding traditional methods, offering the potential to accelerate…

Artificial Intelligence · Computer Science 2025-12-18 Cristina Cornelio , Takuya Ito , Ryan Cory-Wright , Sanjeeb Dash , Lior Horesh

Large language models (LLMs) have demonstrated the world with the sparks of artificial general intelligence (AGI). One opinion, especially from some startups working on LLMs, argues that an LLM with nearly unlimited context length can…

Computation and Language · Computer Science 2024-08-29 Jingbo Shang , Zai Zheng , Jiale Wei , Xiang Ying , Felix Tao , Mindverse Team

Generative artificial intelligence (GAI) has emerged as a rapidly burgeoning field demonstrating significant potential in creating diverse contents intelligently and automatically. To support such artificial intelligence-generated content…

Signal Processing · Electrical Eng. & Systems 2024-01-09 Chengsi Liang , Hongyang Du , Yao Sun , Dusit Niyato , Jiawen Kang , Dezong Zhao , Muhammad Ali Imran

Large language models (LLMs) are rapidly emerging in Artificial Intelligence (AI) applications, especially in the fields of natural language processing and generative AI. Not limited to text generation applications, these models inherently…

Networking and Internet Architecture · Computer Science 2024-04-25 Dimitrios Michael Manias , Ali Chouman , Abdallah Shami

Centralized search engines are key for the Internet, but lead to undesirable concentration of power. Decentralized alternatives fail to offer equal document retrieval accuracy and speed. Nevertheless, Semantic Overlay Networks can come…

Information Retrieval · Computer Science 2025-02-19 Petru Neague , Quinten Stokkink , Naman Goel , Johan Pouwelse

The convergence of generative large language models (LLMs), edge networks, and multi-agent systems represents a groundbreaking synergy that holds immense promise for future wireless generations, harnessing the power of collective…

Multiagent Systems · Computer Science 2023-07-07 Hang Zou , Qiyang Zhao , Lina Bariah , Mehdi Bennis , Merouane Debbah

The rapid growth of the Internet, driven by social media, web browsing, and video streaming, has made images central to the Web experience, resulting in significant data transfer and increased webpage sizes. Traditional image compression…

Networking and Internet Architecture · Computer Science 2024-07-08 Shayan Ali Hassan , Danish Humair , Ihsan Ayyub Qazi , Zafar Ayyub Qazi

Large Language Models (LLMs) are increasingly integrated into search services, providing direct answers that can reduce users' reliance on traditional result pages. Yet their factual reliability in non-English web ecosystems remains poorly…

Information Retrieval · Computer Science 2026-02-27 Geng Liu , Junjie Mu , Li Feng , Mengxiao Zhu , Francesco Pierri

Conversational search systems enable information retrieval via natural language interactions, with the goal of maximizing users' information gain over multiple dialogue turns. The increasing prevalence of conversational interfaces adopting…

Computation and Language · Computer Science 2024-07-02 Phillip Schneider , Wessel Poelman , Michael Rovatsos , Florian Matthes

The period from 2019 to the present marks one of the most significant paradigm shifts in information retrieval (IR) and natural language processing (NLP), culminating in the emergence of powerful large language models (LLMs) from 2022…

Information Retrieval · Computer Science 2026-03-17 Zhichao Xu , Fengran Mo , Zhiqi Huang , Crystina Zhang , Puxuan Yu , Bei Wang , Jimmy Lin , Vivek Srikumar

In this paper we review studies of the growth of the Internet and technologies that are useful for information search and retrieval on the Web. Search engines are retrieve the efficient information. We collected data on the Internet from…

Information Retrieval · Computer Science 2013-10-18 Avinash N Bhute , B. B. Meshram

HTML documents are an important medium for disseminating information on the Web for human consumption. An HTML document presents information in multiple text formats including unstructured text, structured key-value pairs, and tables.…

Computation and Language · Computer Science 2022-01-27 Xiang Deng , Prashant Shiralkar , Colin Lockard , Binxuan Huang , Huan Sun

This paper explores the nuanced landscape of generative AI (genAI), particularly focusing on neural network-based models like Large Language Models (LLMs). While genAI garners both optimistic enthusiasm and sceptical criticism, this work…

Computers and Society · Computer Science 2024-10-23 Ante Prodan , Jo-An Occhipinti , Rehez Ahlip , Goran Ujdur , Harris A. Eyre , Kyle Goosen , Luke Penza , Mark Heffernan