UCL+FAIR unveil neural reasoning architecture that learns to generate and select rules
PMinervini · x · 2026-09-21
Yann LeCun shared new work from UCL + FAIR-London on neural architectures for reasoning that learn to generate and select rules. PMinervini notes the underlying idea — recursively decomposing goals into sub-goals in latent space and decoding symbolic knowledge — dates back to ICML 2020.
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