MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement
Autoformalization is commonly framed as translating natural-language mathematical statements into machine-verifiable formal languages such as Lean 4. However, faithful formalization requires more than translation. Models must map mathematical concepts to the complex hierarchy of types and definitions in formal libraries such as Mathlib, while ensuring that generated statements preserve the meaning of the source propositions. Existing approaches struggle because they rely heavily on the model's parametric memory for library-specific knowledge, while common data construction pipelines often reso
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzyOverlapping authors or contributors · 62%bytedance/deer-flow →
“Shared author/contributor keys: wang”
- FuzzyOverlapping authors or contributors · 62%sgl-project/sglang →
“Shared author/contributor keys: zhou”
- FuzzyOverlapping authors or contributors · 62%ray-project/ray →
“Shared author/contributor keys: wang”
- LinkedLinked via arxiv author · 85%Lushi Pu →
“MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement”
- LinkedLinked via arxiv author · 85%Weiming Zhang →
“MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement”
- LinkedLinked via arxiv author · 85%Xinheng Xie →
“MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement”
- LinkedLinked via arxiv author · 85%Zixuan Fu →
“MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement”
- LinkedLinked via arxiv author · 85%Bingxiang He →
“MathForm: Scaling Mathematical Autoformalization with Knowledge Retrieval and Verification-Guided Refinement”