From Shortcut Learning to Discrete Neural Insertion Sort

arXiv:2609.31114 · cs.LG, cs.AI · Submitted 2026-09-25 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/google-deepmind/clrs

Terminology

• Embeddings — 23× in this paper · explained in 2 episodes
• Accuracy — 19× in this paper · explained in 1 episode
• Generalization — 15× in this paper · explained in 13 episodes
• Decode — 12× in this paper · explained in 2 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Discrete Neural Algorithmic Reasoning — 4× in this paper
• Alignment — 2× in this paper · explained in 1 episode
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes

Sources

• What Can Neural Networks Reason About?

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