LM: Satisfiability-Aided Language Models Using Declarative Prompting
–Neural Information Processing Systems
The declarative specification is closer to the problem description than the reasoning steps are, so the LLM can parse it out of the description more accurately. Furthermore, by offloading the actual reasoning task to an automated theorem prover, our approach can guarantee the correctness of the answer with respect to the parsed specification and avoid planning errors in the solving process.
Neural Information Processing Systems
Oct-9-2025, 01:13:46 GMT
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