RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
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Updated
Apr 12, 2025 - Python
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
Evaluation on Logical Reasoning and Abstract Reasoning Challenges
Learning Perceptual Inference by Contrasting
Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
ACRE: Abstract Causal REasoning Beyond Covariation
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning
Effective Abstract Reasoning with Dual-Contrast Network
ARC-Test-Time-Training (ARC-TTT)
CausalARC: Abstract Reasoning with Causal World Models
Official package for "A Neural Affinity Framework for Abstract Reasoning." Includes the validated 9-category ARC taxonomy, pre-computed fine-tuning results, and scripts to verify the Compositional Gap.
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