From Natural Language to Executable Narsese: A Neuro-Symbolic Benchmark and Pipeline for Reasoning with NARS

1. 1Translate natural-language reasoning problems into first-order logic (FOL) using a neuro-symbolic framework
2. 2Implement the Narsese language to create executable formal representations
3. 3Evaluate the pipeline using a benchmark for reasoning with NARS
4. 4Apply the pipeline to real-world problems requiring explicit symbolic structure and multi-step inference
5. 5Compare the results with traditional LLMs to assess the improvement in reasoning capabilities

Researchers and engineers working on large language models and neuro-symbolic systems can benefit from this pipeline to improve reasoning capabilities

💡 Neuro-symbolic frameworks can improve reasoning capabilities of LLMs by translating natural language into executable formal representations

🤖 Translate natural language into executable formal representations with a neuro-symbolic framework! 💡