996 citations · 2.4k across the 62 of their papers we have counts for
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cs.AI2026
Staying on Task: Testing the Foundations of Long-Horizon Agent Reliability
Jeffrey Willette, Krishna C. Puvvada, Boris Ginsburg
Long-horizon agentic workflows require models to sustain repeated state-dependent actions all while the context grows, sub-task complexity changes, and new data arrives. Each situa…
cs.AI2017★ 996 cited
Mixed Precision Training
Paulius Micikevicius, Sharan Narang, Jonah Alben +8
Deep neural networks have enabled progress in a wide variety of applications. Growing the size of the neural network typically results in improved accuracy. As model sizes grow, th…