37 citations · 65 across the 5 of their papers we have counts for
5 papers
We Need Improved Data Curation and Attribution in AI for Scientific Discovery
Mara Graziani, Antonio Foncubierta, Dimitrios Christofidellis +5
As the interplay between human-generated and synthetic data evolves, new challenges arise in scientific discovery concerning the integrity of the data and the stability of the mode…
Unifying Molecular and Textual Representations via Multi-task Language Modelling
Dimitrios Christofidellis, Giorgio Giannone, Jannis Born +3
The recent advances in neural language models have also been successfully applied to the field of chemistry, offering generative solutions for classical problems in molecular desig…
Z-BERT-A: a zero-shot Pipeline for Unknown Intent detection
Daniele Comi, Dimitrios Christofidellis, Pier Francesco Piazza +1
Intent discovery is a crucial task in natural language processing, and it is increasingly relevant for various of industrial applications. Identifying novel, unseen intents from us…
Accelerating Material Design with the Generative Toolkit for Scientific Discovery
Matteo Manica, Jannis Born, Joris Cadow +21
With the growing availability of data within various scientific domains, generative models hold enormous potential to accelerate scientific discovery. They harness powerful represe…
Understood in Translation, Transformers for Domain Understanding
Dimitrios Christofidellis, Matteo Manica, Leonidas Georgopoulos +1
Knowledge acquisition is the essential first step of any Knowledge Graph (KG) application. This knowledge can be extracted from a given corpus (KG generation process) or specified…