"I'm not going to respond to that," Siri responded. I had just cursed at it, and this was my passive-aggressive chastisement. The cursing was, in my view, warranted. I was in my car, running errands, and had found myself in an unfamiliar part of town. I requested "directions to Lowe's," hoping to get routed to the big-box hardware store without taking my eyes off the road.

The exponential growth of scientific literature necessitates advanced tools for effective knowledge exploration. We present Knowledge Navigator, a system designed to enhance exploratory search abilities by organizing and structuring the retrieved documents from broad topical queries into a navigable, two-level hierarchy of named and descriptive scientific topics and subtopics. This structured organization provides an overall view of the research themes in a domain, while also enabling iterative search and deeper knowledge discovery within specific subtopics by allowing users to refine their focus and retrieve additional relevant documents. Knowledge Navigator combines LLM capabilities with cluster-based methods to enable an effective browsing method. We demonstrate our approach's effectiveness through automatic and manual evaluations on two novel benchmarks, CLUSTREC-COVID and SCITOC. Our code, prompts, and benchmarks are made publicly available.

Artificial Intelligence (AI) and Machine Learning used to be heard when the topic was Big Data Analytics – and maybe in some sci-fi movies- before; but now it is impossible to ignore them with the self-driving cars, knowledge navigators, smart home appliances and face/voice recognition solutions in our everyday lives. These terms might be quite widespread but they can lead to confusions as they are very much related and being used interchangeably. Artificial intelligence has a longer history than machine learning. It might sound like a new term but we can say it has been studied and improved over the years since Aristotle introduced syllogism, which was a method of formal and mechanical thought. The real birth of the current understanding however starts in the 1940s and 50s with some scientists from mathematics, engineering, psychology, economics and political science who put the idea of'creating an artificial brain' on the table.

Artificial Intelligence (AI) and Machine Learning used to be heard when the topic was Big Data Analytics – and maybe in some sci-fi movies- before; but now it is impossible to ignore them with the self-driving cars, knowledge navigators... These terms might be quite widespread but they can lead to confusions as they are very much related and being used interchangeably. Artificial intelligence has a longer history than machine learning. It might sound like a new term but we can say it has been studied and improved over the years since Aristotle introduced syllogism, which was a method of formal and mechanical thought. The real birth of the current understanding however starts in the 1940s and 50s with some scientists from mathematics, engineering, psychology, economics and political science who put the idea of'creating an artificial brain' on the table.