CONSTRAINT-BASED PROMPTING FOR LANGUAGE MODELS TO REASON ON COMMONSENSE KNOWLEDGE BASES
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United States of America
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Apr 10, 2025
app pub date -
Sep 24, 2024
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Sep 24, 2024
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Abstract
Provided herein is a method of improved commonsense knowledge bases reasoning through constraint-based prompting. A novel dual-module constraint-based prompt engineering system named ConstraintChecker is involved, which employs a first rule-based module to produce a list of constraints and a second zero-shot learning module to check whether the knowledge instance satisfies all constraints. The acquired constraint-checking result is then aggregated with the output of the main prompting backbone to produce the final output. This present method is more effective in commonsense knowledge bases reasoning then that by employing the prompting backbone alone, and also significantly reduces computational costs.
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