Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

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Abstract We introduce OmniRe, a holistic approach for efficiently reconstructing high-fidelity dynamic urban scenes from on-device logs. Recent methods for modeling driving sequences using neural ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This study investigates fault diagnosis, encompassing fault detection, isolation, and ...

Correspondence to Dr Jeroen L A Pennings, National Institute for Public Health and the Environment, Bilthoven 3721 MA, Netherlands; jeroen.pennings{at}rivm.nl Objective Electronic cigarettes are ...

Department of Chemical and Biomolecular Engineering, University of Illinois Urbana−Champaign, Urbana, Illinois 61801, United States Materials Research Laboratory, University of Illinois ...

In the rapidly evolving landscape of artificial intelligence and user experience stands Nikhil Khani, a Staff Software Engineer whose work at YouTube is revolutionizing how billions of people discover ...

This survey paper investigates how personalized learning offered by Large Language Models (LLMs) could transform educational experiences. We explore Knowledge Editing Techniques (KME), which guarantee ...