NeuroSymActive combines soft-unification symbolic modules, a neural path evaluator, and Monte-Carlo-style active exploration to reach strong answer accuracy on KGQA benchmarks while cutting graph lookups and model calls versus standard retrieval baselines.
Differentiable neuro-symbolic reasoning on large-scale knowledge graphs.Advances in Neural Information Processing Systems, 36:28139–28154, 2023
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Chimera combines kernelized attention approximations with symbolic fusion mechanisms to enable high-fidelity neuro-symbolic inference inside commodity programmable switches.
citing papers explorer
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NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
NeuroSymActive combines soft-unification symbolic modules, a neural path evaluator, and Monte-Carlo-style active exploration to reach strong answer accuracy on KGQA benchmarks while cutting graph lookups and model calls versus standard retrieval baselines.
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Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence
Chimera combines kernelized attention approximations with symbolic fusion mechanisms to enable high-fidelity neuro-symbolic inference inside commodity programmable switches.