2025-12-06
Xybern Research
A Neuro-Symbolic Architecture for High-Stakes Reasoning with Xybern-Reasoning-7B
Xybern-Reasoning-7B addresses the reliability limitations of standard LLMs in high-stakes fields like law and finance by introducing a neuro-symbolic architecture that couples fast neural inference with a deterministic "System 2" constraint engine. Instead of relying solely on probabilistic token generation, the system validates candidate answers against explicit constraint graphs to ensure formal consistency and strict rule adherence. This hybrid approach eliminates silent compliance failures and provides the audit-ready traceability required for critical enterprise decision-making.
Neuro-symbolic AI
Constraint Satisfaction
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