mlsanityData to 14 Oct 2026

Addressing the Abstraction and Reasoning Corpus via Procedural Example Generation

arXiv 2404.07353 ↗First posted 10 Apr 2024cs.LG cs.AIcited by 33

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Abstract (arXiv)

This work presents code to procedurally generate examples for the ARC training tasks. For each of the 400 tasks, an example generator following the transformation logic of the original examples was created. In effect, the assumed underlying distribution of examples for any given task was reverse engineered by implementing a means to sample from it. An attempt was made to cover an as large as reasonable space of possible examples for each task. That is, whenever the original examples of a given task may be limited in their diversity e.g. by having the dimensions of the grids, the set of symbols or number of objects constant or within tight bounds, even though the transformation does not require it, such constraints were lifted. Having access to not just a few examples per task, as the case for ARC, but instead very many, should enable a wide range of experiments that may be important stepping stones towards making leaps on the benchmark.

Key facts. Cited by 33 papers in the map (data through 14 Oct 2026). Builds on 0 of its 2 references that are in the map. First posted on arXiv 10 Apr 2024.

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 5; 2025: 12; 2026: 16.

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  1. 2024The Surprising Effectiveness of Test-Time Training for Few-Shot Learningcited by 96
  2. 2025Product of Experts with LLMs: Boosting Performance on ARC Is a Matter of Perspectivecited by 17
  3. 2026LoopViT: Scaling Visual ARC with Looped Transformerscited by 15
  4. 2024Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objectscited by 10
  5. 2025ARC-GEN: A Mimetic Procedural Benchmark Generator for the Abstraction and Reasoning Corpuscited by 10
  6. 2025Don't throw the baby out with the bathwater: How and why deep learning for ARCcited by 7
  7. 2025Think Visually, Reason Textually: Vision-Language Synergy in ARCcited by 6
  8. 2025Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoningcited by 4
  9. 2025CausalARC: Abstract Reasoning with Causal World Modelscited by 4
  10. 2026One Step Forward and K Steps Back: Better Reasoning with Denoising Recursion Modelscited by 3
  11. 2024Abductive Symbolic Solver on Abstraction and Reasoning Corpuscited by 2
  12. 2025From Reasoning to Generalization: Knowledge-Augmented LLMs for ARC Benchmarkcited by 2
21 more
  1. 2025GIFARC: Synthetic Dataset for Leveraging Human-Intuitive Analogies to Elevate AI Reasoningcited by 2
  2. 2026ARC-TGI: Human-Validated Task Generators with Reasoning Chain Templates for ARC-AGIcited by 2
  3. 2026Slots, Transitions, Loops: Learning Composable World Models for ARCcited by 2
  4. 2026Implicit Rule Induction with Test-Time Task Embeddings in ARC-like Taskscited by 2
  5. 2024Diffusion-Based Offline RL for Improved Decision-Making in Augmented ARC Taskcited by 1
  6. 2025CellARC: Measuring Intelligence with Cellular Automatacited by 1
  7. 2025Vector Symbolic Algebras for the Abstraction and Reasoning Corpuscited by 1
  8. 2026PotARCin: Multi-Dimensional Evaluation of Skill Acquisition in Abstract Reasoning Taskscited by 1
  9. 2024EcoSearch: A Constant-Delay Best-First Search Algorithm for Program Synthesiscited by 0
  10. 2025Channel-Wise MLPs Improve the Generalization of Recurrent Convolutional Networkscited by 0
  11. 2025COGITAO: A Visual Reasoning Framework To Study Compositionality & Generalizationcited by 0
  12. 2026Reasoning is a Modalitycited by 0
  13. 2026DiARC: Distinguishing Positive and Negative Samples Helps Improving ARC-like Reasoning Ability of Large Language Modelscited by 0
  14. 2026Modality-Driven Search with Holistic Trace Judging for ARC-AGI-2cited by 0
  15. 2026From Global to Factor-Wise Expert Composition in Discrete Diffusion Modelscited by 0
  16. 2026Recursive Vision Language Models for General Symbolic Reasoningcited by 0
  17. 2026BDH-CQ: In-Context Learning with Recurrent Latent Reasoningcited by 0
  18. 2026Structured Sparse Memory for Recurrent Reasoningcited by 0
  19. 2026Reasoning with Neural Cellular Automatacited by 0
  20. 2026A Systematic Study of Small Language Models on Abstract Reasoning Taskscited by 0
  21. 2026Pretraining and Test-Time Training Budgets Matter for ARC: A Controlled Study of VARC and TRMcited by 0