Search Results for author:
Found 6 papers, 3 papers with code
Lemmanaid: Neuro-Symbolic Lemma Conjecturing
We train an LLM to generate lemma templates that describe the shape of a lemma, and use symbolic methods to fill in the details.
Deriving Representative Structure from Music Corpora
Western music is an innately hierarchical system of interacting levels of structure, from fine-grained melody to high-level form.
Rango: Adaptive Retrieval-Augmented Proving for Automated Software Verification
We present Rango, a fully automated proof synthesis tool for Coq that automatically identifies relevant premises and also similar proofs from the current project and uses them during synthesis.
Cobblestone: Iterative Automation for Formal Verification
We introduce Cobblestone, a new proof-synthesis approach that improves on the state of the art by taking advantage of partial progress in proof synthesis attempts.
Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
Recent advances in Automated Theorem Proving have shown the effectiveness of leveraging a (large) language model that generates tactics (i. e. proof steps) to search through proof states.
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development
When software developers modify one or more files in a large code base, they must also identify and update other related files.
