Introduces Relaxed NFL intermediate language for LLM-based auto-formalization, with rule-plus-LLM elaboration to Core NFL and tactic-language discharge of verification conditions.
In: Proceedings of the 1st ACM SIGPLAN International Workshop on Language Models and Programming Languages
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Semester-long tracking of 96 students showed LLM usage fell 42.7 points and verification dropped 19.4 points in team work, with 18.9% of consistent individual users stopping entirely in teams.
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Verifiable Auto-Formalization of Mathematics Using a Relaxed Natural Formal Language
Introduces Relaxed NFL intermediate language for LLM-based auto-formalization, with rule-plus-LLM elaboration to Core NFL and tactic-language discharge of verification conditions.