Google’s new AI training method helps small models tackle complex reasoning

Google's SRL framework provides a step-by-step "curriculum" that makes LLMs more reliable for complex reasoning tasks.
Nature

'Tiny' AI model beats massive LLMs at logic test

The TRM takes a different approach. Jolicoeur-Martineau was inspired by a technique known as the hierarchical reasoning model ...
IEEE

Fast Block Krylov Subspace Methods for Solving Sequences of Dense MoM Linear Systems with Multiple Right-Hand Sides

For the simultaneous solution of sequences of linear systems with multiple right-hand sides that result from the discretization of boundary integral equations using the Method of Moments, we show ...
IEEE

Prescribed Performance Control for Solving Time-Varying Underdetermined Linear Systems With Bounds on States and Their Derivatives

Abstract: This article addresses the problem of finding online solutions to time-varying underdetermined linear systems with limits on states and their derivatives through a novel zeroing neural ...