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The ever-growing corpus of scientific literature presents significantchallenges for researchers with respect to discovery, management, andannotation of relevant publications. Traditional platforms like SemanticScholar, BibSonomy, and Zotero offer tools for literature management, butlargely require manual laborious and error-prone input of tags and metadata.Here, we introduce a novel retrieval augmented generation system that leverageschat-based large language models (LLMs) to streamline and enhance the processof publication management. It provides a unified chat-based interface, enablingintuitive interactions with various backends, including Semantic Scholar,BibSonomy, and the Zotero Webscraper. It supports two main use-cases: (1)Explorative Search & Retrieval - leveraging LLMs to search for and retrieveboth specific and general scientific publications, while addressing thechallenges of content hallucination and data obsolescence; and (2) Cataloguing& Management - aiding in the organization of personal publication libraries, inthis case BibSonomy, by automating the addition of metadata and tags, whilefacilitating manual edits and updates. We compare our system to different LLMmodels in three different settings, including a user study, and we can show itsadvantages in different metrics.

BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs