Equilibrium Reasoners learn task-conditioned attractors in latent dynamics to support scalable iterative reasoning, raising Sudoku-Extreme accuracy from 2.6% to over 99% via up to 40,000 equivalent layers.
International Conference on Learning Representations , year=
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cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
GONO adapts Adam's momentum using measured gradient directional consistency to better navigate plateaus and oscillations while matching Adam's convergence rate.
citing papers explorer
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Equilibrium Reasoners: Learning Attractors Enables Scalable Reasoning
Equilibrium Reasoners learn task-conditioned attractors in latent dynamics to support scalable iterative reasoning, raising Sudoku-Extreme accuracy from 2.6% to over 99% via up to 40,000 equivalent layers.
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Directional Consistency as a Complementary Optimization Signal: The GONO Framework
GONO adapts Adam's momentum using measured gradient directional consistency to better navigate plateaus and oscillations while matching Adam's convergence rate.