Amirereza Abbasi, Mohsen Hooshmand
This paper explores how large language models are transforming web research by integrating generative-retrieval architectures, impacting various applications like information retrieval and web analytics.
This study examines how large language models (LLMs) are changing the landscape of web research and technology. Traditionally, web research relied on pipelines, a step-by-step method to process information. However, LLMs have introduced generative-retrieval architectures, which are more dynamic and versatile. These new systems are improving tasks such as finding information, answering questions, and recommending content, while also enabling new applications like summarizing web content and creating educational tools. The paper reviews recent progress, challenges, and future possibilities for these technologies.
