A compact BERT retriever for Lean premises, trained with a Lean-specific tokenizer and fine-grained similarity plus re-ranking, outperforms prior retrievers on most splits and lifts MiniF2F pass@1.
The lean theorem prover (system description)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning an Effective Premise Retrieval Model for Efficient Mathematical Formalization
A compact BERT retriever for Lean premises, trained with a Lean-specific tokenizer and fine-grained similarity plus re-ranking, outperforms prior retrievers on most splits and lifts MiniF2F pass@1.