LP-LM uses Prolog DCG parsing and unification over a knowledge base to answer simple questions, so answers are grounded in stored facts rather than sampled from a language model.
Proceedings of the International Confer- ence RANLP, pp
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
LP-LM: No Hallucinations in Question Answering with Logic Programming
LP-LM uses Prolog DCG parsing and unification over a knowledge base to answer simple questions, so answers are grounded in stored facts rather than sampled from a language model.