5 papers
InsightGUIDE: An Opinionated AI Assistant for Guided Critical Reading of Scientific Literature
Paris Koloveas, Serafeim Chatzopoulos, Thanasis Vergoulis +1
The proliferation of scientific literature presents an increasingly significant challenge for researchers. While Large Language Models (LLMs) offer promise, existing tools often pr…
Accelerating Scientific Discovery with Multi-Document Summarization of Impact-Ranked Papers
Paris Koloveas, Serafeim Chatzopoulos, Dionysis Diamantis +2
The growing volume of scientific literature makes it challenging for scientists to move from a list of papers to a synthesized understanding of a topic. Because of the constant inf…
From raw affiliations to organization identifiers
Myrto Kallipoliti, Serafeim Chatzopoulos, Miriam Baglioni +3
Accurate affiliation matching, which links affiliation strings to standardized organization identifiers, is critical for improving research metadata quality, facilitating comprehen…
Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs
Paris Koloveas, Serafeim Chatzopoulos, Thanasis Vergoulis +1
This work investigates the ability of open Large Language Models (LLMs) to predict citation intent through in-context learning and fine-tuning. Unlike traditional approaches relyin…
BIP! Scholar: A Service to Facilitate Fair Researcher Assessment
Thanasis Vergoulis, Serafeim Chatzopoulos, Kleanthis Vichos +4
In recent years, assessing the performance of researchers has become a burden due to the extensive volume of the existing research output. As a result, evaluators often end up rely…