activity
20182022
most citedAutoformalization with Large Language Models

43 citations · 63 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG202243 cited

Autoformalization with Large Language Models

Yuhuai Wu, Albert Q. Jiang, Wenda Li +4

Autoformalization is the process of automatically translating from natural language mathematics to formal specifications and proofs. A successful autoformalization system could adv…

cs.AI202220 cited

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

Albert Q. Jiang, Wenda Li, Szymon Tworkowski +5

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 t…

cs.LO2020

IsarStep: a Benchmark for High-level Mathematical Reasoning

Wenda Li, Lei Yu, Yuhuai Wu +1

A well-defined benchmark is essential for measuring and accelerating research progress of machine learning models. In this paper, we present a benchmark for high-level mathematical…

cs.LO2018

Counting Polynomial Roots in Isabelle/HOL: A Formal Proof of the Budan-Fourier Theorem

Wenda Li, Lawrence C. Paulson

Many problems in computer algebra and numerical analysis can be reduced to counting or approximating the real roots of a polynomial within an interval. Existing verified root-count…

cs.LO2018

Evaluating Winding Numbers and Counting Complex Roots through Cauchy Indices in Isabelle/HOL

Wenda Li, Lawrence C. Paulson

In complex analysis, the winding number measures the number of times a path (counter-clockwise) winds around a point, while the Cauchy index can approximate how the path winds. We…