SHARP is a human-AI collaboration pipeline for reproducing scientific analyses, demonstrated by recreating a jet classification task from a particle physics paper.
Giordano et al., HEPScore: A new CPU benchmark for the WLCG , EPJ Web of Conf
3 Pith papers cite this work. Polarity classification is still indexing.
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A cascade pipeline on 400 AIE tiles evaluates gg→ttg leading-order matrix elements at 1 million per second with parts-per-million accuracy to MadGraph, delivering 34× CPU speedup and 7.7× better energy efficiency at 54.8 W.
A review of initiatives to make LHC Monte Carlo event generations available as open data to minimize redundant simulations and resource use.
citing papers explorer
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A Scientific Human-Agent Reproduction Pipeline
SHARP is a human-AI collaboration pipeline for reproducing scientific analyses, demonstrated by recreating a jet classification task from a particle physics paper.
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Cascade Pipeline for Leading-Order Matrix Element Evaluation on AMD Versal AI Engine Arrays
A cascade pipeline on 400 AIE tiles evaluates gg→ttg leading-order matrix elements at 1 million per second with parts-per-million accuracy to MadGraph, delivering 34× CPU speedup and 7.7× better energy efficiency at 54.8 W.
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Open LHC Monte Carlo Event Generation
A review of initiatives to make LHC Monte Carlo event generations available as open data to minimize redundant simulations and resource use.