Neural Algorithmic Reasoning

Overview

Neural algorithmic reasoning asks how neural networks can learn the steps of algorithms and apply them to inputs or problem sizes not seen in training. Common approaches train on algorithm traces, align graph neural networks with message-passing algorithms, or use recurrent and looped models that perform more computation at test time; some methods encode symbolic rules or explicit memory directly. Researchers evaluate these systems on tasks such as CLRS graph algorithms, Sudoku, mazes, arithmetic, and graph optimization, often testing generalization to longer sequences, larger graphs, or deeper reasoning. A central challenge is ensuring that models truly execute and retain useful intermediate computations rather than relying on shortcuts, since accurate answers or decodable representations alone do not guarantee robust reasoning at greater depth.

Latest papers

CardsList

45 papers14 papers in the last four weeks, up 367% on the four weeks before. 0.1% of all new papers.

  1. Dynamical Systems Theory Behind a Hierarchical Reasoning Model

    Mar 24, 2026Vasiliy A. Es'kin, Mikhail E. SmorkalovSudoku SolvingNeural Algorithmic Reasoning

  2. Recursive Inference Machines for Neural Reasoning

    Mar 5, 2026Mieszko Komisarczyk, Saurabh Mathur, Maurice Kraus +2Abstract ReasoningNeural Algorithmic Reasoning

  3. Modular Neural Computer

    Mar 4, 2026Florin LeonNeural Algorithmic ReasoningMemory-Augmented Neural Networks

  4. Symbol-Equivariant Recurrent Reasoning Models

    Mar 2, 2026Richard Freinschlag, Timo Bertram, Erich Kobler +2Permutation-Equivariant Neural NetworksSudoku Solving

  5. MINAR: Mechanistic Interpretability for Neural Algorithmic Reasoning

    Feb 24, 2026Jesse He, Helen Jenne, Max Vargas +4Neural Algorithmic ReasoningMechanistic Interpretability

  6. Parallelizable Neural Turing Machines

    Feb 18, 2026Gabriel Faria, Arnaldo Candido JuniorNeural Algorithmic ReasoningRecurrent Neural Networks

  7. Efficiently Learning Branching Networks for Multitask Algorithmic Reasoning

    Nov 30, 2025Dongyue Li, Zhenshuo Zhang, Minxuan Duan +2Neural Algorithmic ReasoningMulti-Task Learning

  8. Tackling GNARLy Problems: Graph Neural Algorithmic Reasoning Reimagined through Reinforcement Learning

    Sep 23, 2025Alex Schutz, Victor-Alexandru Darvariu, Efimia Panagiotaki +2Graph Neural NetworksReinforcement Learning

  9. Scaling Online Complex Event Detection with Synthetic Supervision and Mamba-Based Neural Algorithmic Reasoning

    Feb 11, 2025Liying Han, Gaofeng Dong, Xiaomin Ouyang +4Neural Algorithmic ReasoningAlgorithmic Reasoning

  10. Inferring Inference

    Oct 4, 2023Rajkumar Vasudeva Raju, Zhe Li, Scott Linderman +1Neural Algorithmic ReasoningSystem Identification