Papers by Niklas Mellgren

1 papers
Training Language Models to Use Prolog as a Tool (2026.findings-acl)

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Challenge: Language models often produce plausible but incorrect reasoning traces that are difficult to verify.
Approach: They train language models to use Prolog as an external symbolic reasoning tool . they find an accuracy–auditability trade-off between tuning for correctness alone and using Prolog only for the final computation .
Outcome: The proposed model outperforms supervised fine-tuning on a clean version of GSM8K.

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