218 citations · 297 across the 5 of their papers we have counts for
5 papers
Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models
Amirkeivan Mohtashami, Mauro Verzetti, Paul K. Rubenstein
Learned metrics such as BLEURT have in recent years become widely employed to evaluate the quality of machine translation systems. Training such metrics requires data which can be…
Jet Flavour Classification Using DeepJet
Emil Bols, Jan Kieseler, Mauro Verzetti +2
Jet flavour classification is of paramount importance for a broad range of applications in modern-day high-energy-physics experiments, particularly at the LHC. In this paper we pro…
Report on the ECFA Early-Career Researchers Debate on the 2020 European Strategy Update for Particle Physics
N. Andari, L. Apolinário, K. Augsten +118
A group of Early-Career Researchers (ECRs) has been given a mandate from the European Committee for Future Accelerators (ECFA) to debate the topics of the current European Strategy…
Beyond the Standard Model Physics at the HL-LHC and HE-LHC
X. Cid Vidal, M. D'Onofrio, P. J. Fox +294
This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in…
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…