%0 Generic %1 volker2024bibsonomy %A Völker, Tom %A Pfister, Jan %A Koopmann, Tobias %A Hotho, Andreas %D 2024 %K RAG author:hotho author:koopmann author:pfister chatgpt motiv myown nlp %R 10.1145/3627508.3638298 %T BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs %U http://arxiv.org/abs/2401.09092 %X The ever-growing corpus of scientific literature presents significant challenges for researchers with respect to discovery, management, and annotation of relevant publications. Traditional platforms like Semantic Scholar, BibSonomy, and Zotero offer tools for literature management, but largely require manual laborious and error-prone input of tags and metadata. Here, we introduce a novel retrieval augmented generation system that leverages chat-based large language models (LLMs) to streamline and enhance the process of publication management. It provides a unified chat-based interface, enabling intuitive 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 retrieve both specific and general scientific publications, while addressing the challenges of content hallucination and data obsolescence; and (2) Cataloguing & Management - aiding in the organization of personal publication libraries, in this case BibSonomy, by automating the addition of metadata and tags, while facilitating manual edits and updates. We compare our system to different LLM models in three different settings, including a user study, and we can show its advantages in different metrics.

@misc{volker2024bibsonomy, abstract = {The ever-growing corpus of scientific literature presents significant challenges for researchers with respect to discovery, management, and annotation of relevant publications. Traditional platforms like Semantic Scholar, BibSonomy, and Zotero offer tools for literature management, but largely require manual laborious and error-prone input of tags and metadata. Here, we introduce a novel retrieval augmented generation system that leverages chat-based large language models (LLMs) to streamline and enhance the process of publication management. It provides a unified chat-based interface, enabling intuitive 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 retrieve both specific and general scientific publications, while addressing the challenges of content hallucination and data obsolescence; and (2) Cataloguing & Management - aiding in the organization of personal publication libraries, in this case BibSonomy, by automating the addition of metadata and tags, while facilitating manual edits and updates. We compare our system to different LLM models in three different settings, including a user study, and we can show its advantages in different metrics.}, added-at = {2024-01-27T09:51:03.000+0100}, author = {Völker, Tom and Pfister, Jan and Koopmann, Tobias and Hotho, Andreas}, biburl = {https://www.bibsonomy.org/bibtex/2c864f01366ecfaea30420f7c4799baf8/janpf}, doi = {10.1145/3627508.3638298}, interhash = {253b36695185171378aece8b9eac9802}, intrahash = {c864f01366ecfaea30420f7c4799baf8}, keywords = {RAG author:hotho author:koopmann author:pfister chatgpt motiv myown nlp}, note = {cite arxiv:2401.09092Comment: Accepted at 2024 ACM SIGIR CHIIR, For a demo see here http://professor-x.de/demos/bibsonomy-chatgpt/demo.mp4}, timestamp = {2024-02-29T08:59:40.000+0100}, title = {BibSonomy Meets ChatLLMs for Publication Management: From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs}, url = {http://arxiv.org/abs/2401.09092}, year = 2024 }