Benchmarking Architectures for Interactive Theorem-Proving: BAIT Framework

The author introduces the BAIT framework to facilitate fair comparisons of learning approaches in Interactive Theorem Proving, focusing on embedding architectures. By demonstrating the effectiveness of Structure Aware Transformers and providing a qualitative analysis, the author highlights the importance of semantically-aware embeddings.