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)
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.
An extremely difficult benchmark for LLMs.
trying to bring AGI asap
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