44 citations · 155 across the 9 of their papers we have counts for
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cs.LG2025★ 23 cited
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1168
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
cs.LG2023★ 1 cited
Improving Energy Conserving Descent for Machine Learning: Theory and Practice
G. Bruno De Luca, Alice Gatti, Eva Silverstein
We develop the theory of Energy Conserving Descent (ECD) and introduce ECDSep, a gradient-based optimization algorithm able to tackle convex and non-convex optimization problems. T…
cs.LG2022★ 2 cited
Born-Infeld (BI) for AI: Energy-Conserving Descent (ECD) for Optimization
G. Bruno De Luca, Eva Silverstein
We introduce a novel framework for optimization based on energy-conserving Hamiltonian dynamics in a strongly mixing (chaotic) regime and establish its key properties analytically…