Co-occurring keywords · papers mentioning both
Papers
SITA: A Framework for Structure-to-Instance Theorem Autoformalization
AAAI 2026
Autoformalization in the Wild: Assessing LLMs on Real-World Mathematical Definitions
EMNLP 2025
DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
ICLR 2025
LeanAgent: Lifelong Learning for Formal Theorem Proving
ICLR 2025
Position: Formal Mathematical Reasoning—A New Frontier in AI
ICML 2025
Benchmarking Automated Theorem Proving with Large Language Models
EMNLP 2024
LeanReasoner: Boosting Complex Logical Reasoning with Lean
NAACL 2024
Learning Structure-Aware Representations of Dependent Types
NeurIPS 2024
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
NeurIPS 2023
MLFMF: Data Sets for Machine Learning for Mathematical Formalization
NeurIPS 2023
Spoq: Scaling Machine-Checkable Systems Verification in Coq
OSDI 2023
Autoformalization with Large Language Models
NeurIPS 2022
Proof Artifact Co-Training for Theorem Proving with Language Models
ICLR 2022
Faster Smarter Proof by Induction in Isabelle/HOL
IJCAI 2021
GoJournal: a verified, concurrent, crash-safe journaling system
OSDI 2021
GamePad: A Learning Environment for Theorem Proving
ICLR 2019
Learning to Prove Theorems via Interacting with Proof Assistants
ICML 2019
A Verified SAT Solver Framework with Learn, Forget, Restart, and Incrementality
IJCAI 2017
Developing Bug-Free Machine Learning Systems With Formal Mathematics
ICML 2017