1 citations · 2 across the 7 of their papers we have counts for
7 papers · 1 filter
Detecting Hallucinated and Suspicious Citations: What Current Tools Can and Cannot Do
Fidan Badalova, Philipp Mayr
Large language models are increasingly used in academic writing, including for reference generation, raising concerns about hallucinated and unreliable citations. Recent research s…
Investigating the originality of scientific papers across time and domain: A quantitative analysis
Jack H. Culbert, Yoed N. Kenett, Philipp Mayr
The study of creativity in science has long sought quantitative metrics capable of capturing the originality of the scientific insights contained within articles and other scientif…
Bi-National Academic Funding and Collaboration Dynamics: The Case of the German-Israeli Foundation
Amit Bengiat, Teddy Lazebnik, Philipp Mayr +1
Academic grant programs are widely used to motivate international research collaboration and boost scientific impact across borders. Among these, bi-national funding schemes -- pai…
PreprintToPaper dataset: connecting bioRxiv preprints with journal publications
Fidan Badalova, Julian Sienkiewicz, Philipp Mayr
The PreprintToPaper dataset connects bioRxiv preprints with their corresponding journal publications, enabling large-scale analysis of the preprint-to-publication process. It compr…
Chatting with Papers: A Hybrid Approach Using LLMs and Knowledge Graphs
Vyacheslav Tykhonov, Han Yang, Philipp Mayr +2
This demo paper reports on a new workflow \textit{GhostWriter} that combines the use of Large Language Models and Knowledge Graphs (semantic artifacts) to support navigation throug…
Originality in scientific titles and abstracts can predict citation count
Jack H. Culbert, Yoed N. Kenett, Philipp Mayr
In this research-in-progress paper, we apply a computational measure correlating with originality from creativity science: Divergent Semantic Integration (DSI), to a selection of 9…