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Use Prolog to improve LLM's reasoning
On one side, LLMs show unseen capabilities in reasoning, but on the other - reasoning in LLMs is not ideal.
Prolog is used where reasoning based on rules is required, in NLP tasks, and for theorem proving. The paper suggests using Chain of thought (CoT) to generate Prolog code and using Multiple Try inference. ProSLM : A Prolog Synergized Language Model for explainable Domain Specific Knowledge Based Question Answering
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