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
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution
Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
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)
A dual-layer framework enhancing LLM abstract synthesis through standard output expansion and omnidirectional insight generation, with applications in AI design and creative ideation.
A prompt-level hack for deeper LLM thinking, which applies abstract reasoning principles to direct LLMs to look at paradoxes and edge cases from different angles.
trying to bring AGI asap
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