From the 1 of 7 linked papers with an AI index.
7 papers
BIP! Ranker: A Software Library for Citation-Based Impact Indicators on Large-Scale Graphs
Ilias Kanellos, Serafeim Chatzopoulos, Thanasis Vergoulis
Scientific impact is multidimensional: overall influence, current popularity, early citation momentum, and field-relative performance each capture a distinct facet of a publication…
Scientific Knowledge Discovery in the Age of Large Language Models
Eleni Adamidi, Serafeim Chatzopoulos, Thanasis Vergoulis
The paper surveys 34 peer‑reviewed studies that apply generative large language models to automate scientific literature retrieval and eligibility screening, analyzing model choice…
A Template-Driven Platform for Contextualised Researcher Profiles
Serafeim Chatzopoulos, Paris Koloveas, Kleanthis Vichos +2
Modern researchers engage in diverse activities, assume multiple contribution roles, and produce a variety of outputs beyond traditional publications. This broader view of research…
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…
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…