Search Results for author:
Found 3 papers, 1 papers with code
Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text
It is unfair to expect neural data-to-text to produce high quality output when there are gaps between system input data and information contained in the training text.
Highly Boosted Higgs Bosons and Unitarity in Vector-Boson Fusion at Future Hadron Colliders
We study the observability of new interactions which modify Higgs-pair production via vector-boson fusion processes at the LHC and at future proton-proton colliders.
High Energy Physics - Phenomenology
Prospects of gravitational waves in the minimal left-right symmetric model
The left-right symmetric model (LRSM) is a well-motivated framework to restore parity and implement seesaw mechanisms for the tiny neutrino masses at or above the TeV-scale, and has a very rich phenomenology at both the high-energy and high-precision frontiers.
High Energy Physics - Phenomenology
