Xiaoxing Ma

Lax bug reproduction tests can lead to plausible but incorrect patches, but a new iterative framework boosts repair success by refining both tests and fixes.

InvWeaver outperforms existing methods by solving 72 out of 82 multi-loop benchmark problems, showcasing a breakthrough in invariant synthesis for complex programs.

Coordinating neural planning with symbolic execution, Quarry boosts automated proof success rates by up to 13% while keeping costs predictable.

Enumerating all potential issues in code reviews can boost refinement accuracy by over 10 percentage points compared to traditional methods.

Training LLMs on a massive, synthesized dataset of verified Rust programs slashes the cost of generating formal correctness proofs, outperforming even Claude Sonnet 4.5.