2 papers
cs.AI2026
ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
Riyaz Ahuja, Tate Rowney, Jeremy Avigad +1
Formal mathematics libraries are rapidly expanding, creating a growing need to refactor verified proofs for maintainability and to improve training data quality for neural provers.…
cs.LO2026
DSLean: A Framework for Type-Correct Interoperability Between Lean 4 and External DSLs
Tate Rowney, Riyaz Ahuja, Jeremy Avigad +1
Domain-specific languages (DSLs) mediate interactions between interactive proof assistants and external automation, but translating between the prover's internal representation and…