Search Results for author: Talia Ringer

Found 4 papers, 1 papers with code

Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion

no code implementations23 Jan 2024 Dylan Zhang, Curt Tigges, Zory Zhang, Stella Biderman, Maxim Raginsky, Talia Ringer

The framework includes a representation that captures the general \textit{syntax} of structural recursion, coupled with two different frameworks for understanding their \textit{semantics} -- one that is more natural from a programming languages perspective and one that helps bridge that perspective with a mechanistic understanding of the underlying transformer architecture.

Can Transformers Learn to Solve Problems Recursively?

no code implementations24 May 2023 Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman, Maxim Raginsky, Talia Ringer

Neural networks have in recent years shown promise for helping software engineers write programs and even formally verify them.

Baldur: Whole-Proof Generation and Repair with Large Language Models

no code implementations8 Mar 2023 Emily First, Markus N. Rabe, Talia Ringer, Yuriy Brun

Recent work has developed methods to automate formal verification using proof assistants, such as Coq and Isabelle/HOL, e. g., by training a model to predict one proof step at a time, and using that model to search through the space of possible proofs.

Proof Repair across Type Equivalences

2 code implementations2 Oct 2020 Talia Ringer, RanDair Porter, Nathaniel Yazdani, John Leo, Dan Grossman

We describe a new approach to automatically repairing broken proofs in the Coq proof assistant in response to changes in types.

Programming Languages

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