Proof Artifact Co|Training for Theorem Proving with Language Models

Proof Artifact Co-training for Theorem Proving with Language Models

Title:Proof Artifact Co-training for Theorem Proving with Language Models ... Abstract:Labeled data for imitation learning of theorem proving in ...

Proof Artifact Co-Training for Theorem Proving with Language Models

To deal with data scarcity in context of learning large Transformer language models for theorem proving, this work proposes a methodology ( ...

Proof Artifact Co-Training for Theorem Proving with Language Models

PACT significantly improves theorem proving pass rate on the test theorems. Wrap language model with a best-first proof search failed split cases le_total a b.

PROOF ARTIFACT CO-TRAINING FOR THEOREM PROV

We instrument Lean with a neural theorem prover driven by a Transformer language model and show that PACT improves theorem proving success rate on a held-out ...

PROOF ARTIFACT CO-TRAINING FOR THEOREM PROV - MATH-AI

We instrument Lean with a neural theorem prover driven by a Transformer language model and show that PACT improves theorem proving success rate on a held-out ...

Proof Artifact Co-training for Theorem Proving with Language Models

PACT is proposed, a general methodology for extracting abundant self-supervised data from kernel-level proof terms for co-training alongside the usual ...

jesse-michael-han/lean-step-public: Proof artifact co-training for Lean

This repository contains utilities for extracting various machine learning datasets from the proof terms of Lean's mathlib.

Proof Artifact Co-training for Theorem Proving with Language ...

Their idea is to use proof objects to create a number of auxiliary tasks, which all benefit from the uniformity of training language models for different tasks.

Proof Artifact Co-training for Theorem Proving with Language Models

We instrument Lean with a neural theorem prover driven by a Transformer language model and show that PACT improves theorem proving success rate ...

proof artifact co-training for theorem prov - arXiv

We instrument Lean with a neural theorem prover driven by a Transformer language model and show that PACT improves theorem proving success rate ...

Proof Artifact Co-training for Theorem Proving With Language Models

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Code for Proof Artifact Co-training for Theorem Proving ... - CatalyzeX

Explore all code implementations available for Proof Artifact Co-training for Theorem Proving with Language Models.

Automated Theorem Proving | Papers With Code

Automated Theorem Proving · Holophrasm: a neural Automated Theorem Prover for higher-order logic · Proof Artifact Co-training for Theorem Proving with Language ...

Deep Learning for Theorem Proving (DL4TP) - GitHub

Proof Artifact Co-Training for Theorem Proving with Language Models ICLR 2022 [paper] [Lean]. Han, Jesse Michael and Rute, Jason and Wu, Yuhuai and Ayers ...

Proof assistants for beginners - a comparison

Which one is the easiest to pick as a language? ... Agda, since theorem proving is programming in Agda: one uses forward reasoning, variable ...

LeanDojo: Theorem Proving with Retrieval-Augmented Language ...

Proof Artifact Co-training for Theorem Proving with Language Models · Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers · Learning ...

How to combine language models and theorem provers?

Suppose that a mathematician wants to find a proof of a conjecture or understand details of some proof. Can one combine language models like ...

Synthetic Proof Term Data Augmentation for Theorem Proving with ...

Polu, “Proof artifact co-training for theorem proving with language models,” CoRR, vol. abs/2102.06203, 2021. [4] A. Anaby-Tavor, B. Carmeli, E. Goldbraich ...

Theorem Proving with Retrieval-Augmented Language Models

Proof artifact co-training for theorem proving with language models. In International Conference on Learning Representations. (ICLR), 2022. 4, 6, 7, 8, 9, 19 ...

Jason Rute - Papers With Code

Proof Artifact Co-training for Theorem Proving with Language Models ... Labeled data for imitation learning of theorem proving in large libraries of formalized ...