Speaker
Umut Emek Demirbozan
(Institut Fisica dáltes Energies)
Description
An AI-Assisted literature explorer: Contextual Language model Assisted arXiv Retrieval (CLArXivR). I will present the CLArXivR package, which assists researchers in selecting and prioritizing abstracts based on their publication history and a domain library defined by the researcher. The package automatically identifies the most similar papers, ranks them, and provides comparative summaries of the closest matches, enabling researchers to quickly assess relevance, connection and identify literature gaps. CLArXivR can also be used in combination with AI agents to automatically select abstracts related to specific topics, such as the Hubble tension, and to support rapid hypothesis generation and scientific exploration.
Author
Umut Emek Demirbozan
(Institut Fisica dáltes Energies)