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Vijay Ganesh

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#artificial intelligence Preprint Oct 2026

AIProver: Agentic Auto-Formalization of Mathematical Research via Certificate-Driven Evolving Harness

Proof auto-formalization translates natural-language (NL) theorems and proofs into a formal language (FL) such as Lean, enabling mechanical verification. Despite rapid progress, research-level proofs often depend on concepts missing from leading proof assistant libraries (e.g., Lean's Mathlib), and successful compilati...

Prithwish Jana, Việt Bách Hoàng, Logan Luna et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Towards Certificate-Driven Software Porting: A Self-Improving Agentic Harness for Scientific Program Optimization

The upgrade and rewriting of large scientific codebases has traditionally been a major challenge. While evolutionary search with large language models (LLMs) can port and accelerate legacy code, repair feedback in prompts alone does not prevent subsequent candidates from repeating the same errors. We introduce Certific...

Piyush Jha, A. Ghosh, Vijay Ganesh · 0 citations
Conference 2026

Learning Unified Graph and Language Representations for SMT Algorithm Selection

Evaluated across nine SMT logics, SMT-Select consistently outperforms existing selectors and SMT-COMP winning solvers and closes at least 30% of the performance gap between the competition winner and the virtual best solver (VBS).

Zhengyang Lu, Paul Sarnighausen-Cahn, Jiahao Chen et al. · 0 citations

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