← Search

Albert Qiaochu Jiang

3 accepted papers

2023

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

ICLR 2023top-5%

The formalization of existing mathematical proofs is a notoriously difficult process. Despite decades of research on automation and proof assistants, writing formal proofs remains arduous and only accessible to a few experts. While previous studies to automate formalization focused on powerful searc…

Cited by 172Source ↗PDF ↗Scholar ↗
2022

Autoformalization with Large Language Models

NeurIPS 2022accept

Autoformalization is the process of automatically translating from natural language mathematics to formal specifications and proofs. A successful autoformalization system could advance the fields of formal verification, program synthesis, and artificial intelligence. While the long-term goal of auto…

Cited by 189Source ↗PDF ↗Scholar ↗
2022

Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

NeurIPS 2022accept

In theorem proving, the task of selecting useful premises from a large library to unlock the proof of a given conjecture is crucially important. This presents a challenge for all theorem provers, especially the ones based on language models, due to their relative inability to reason over huge volume…

Cited by 104Source ↗PDF ↗Scholar ↗