Cover Image

Partial Label Learning for Automated Theorem Proving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zombori, Zsolt, Indruck, Balázs
Format:	Preprint
Published:	2025
Subjects:	Logic in Computer Science Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Constraint-aware Learning of Probabilistic Sequential Models for Multi-Label Classification
by: Buleshnyi, Mykhailo, et al.
Published: (2025)

Lemmas: Generation, Selection, Application
by: Rawson, Michael, et al.
Published: (2023)

Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
by: Liu, Chengwu, et al.
Published: (2026)

MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification
by: Li, Sirui, et al.
Published: (2025)

Mathematical Knowledge Bases as Grammar-Compressed Proof Terms: Exploring Metamath Proof Structures
by: Wernhard, Christoph, et al.
Published: (2025)

LeanAgent: Lifelong Learning for Formal Theorem Proving
by: Kumarappan, Adarsh, et al.
Published: (2024)

Twitch: Learning Abstractions for Equational Theorem Proving
by: Axelrod, Guy, et al.
Published: (2026)

3D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
by: Lamont, Sean, et al.
Published: (2024)

Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving
by: Rajaee, Sara, et al.
Published: (2025)

What are the Right Symmetries for Formal Theorem Proving?
by: Olejniczak, Krzysztof, et al.
Published: (2026)

An In-Context Learning Agent for Formal Theorem-Proving
by: Thakur, Amitayush, et al.
Published: (2023)

Enhancing Formal Theorem Proving: A Comprehensive Dataset for Training AI Models on Coq Code
by: Florath, Andreas
Published: (2024)

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving
by: Lamont, Sean, et al.
Published: (2024)

Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
by: Liu, Qi, et al.
Published: (2025)

SubgoalXL: Subgoal-based Expert Learning for Theorem Proving
by: Zhao, Xueliang, et al.
Published: (2024)

An Automated Theorem Generator with Theoretical Foundation Based on Rectangular Standard Contradiction
by: Xu, Yang, et al.
Published: (2025)

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving
by: Cao, Chuxue, et al.
Published: (2025)

STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
by: Dong, Kefan, et al.
Published: (2025)

Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
by: Song, Peiyang, et al.
Published: (2024)

Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method
by: Vishwakarma, Rahul, et al.
Published: (2023)

Learn from Failure: Fine-Tuning LLMs with Trial-and-Error Data for Intuitionistic Propositional Logic Proving
by: An, Chenyang, et al.
Published: (2024)

Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving
by: Liang, Zhenwen, et al.
Published: (2025)

ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving
by: Thakur, Amitayush, et al.
Published: (2025)

Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal Pairs
by: Zhang, Terry Jingchen, et al.
Published: (2025)

Automated Theorem Proving for Prolog Verification
by: Mesnard, Fred, et al.
Published: (2026)

Neural Theorem Proving: Generating and Structuring Proofs for Formal Verification
by: Rao, Balaji, et al.
Published: (2025)

Learning Rules Explaining Interactive Theorem Proving Tactic Prediction
by: Zhang, Liao, et al.
Published: (2024)

From Width-Based Model Checking to Width-Based Automated Theorem Proving
by: Oliveira, Mateus de Oliveira, et al.
Published: (2022)

Vibe Coding an LLM-powered Theorem Prover
by: Hou, Zhe
Published: (2026)

Proof Recommendation System for the HOL4 Theorem Prover
by: Dekhil, Nour, et al.
Published: (2024)

TaoBench: Do Automated Theorem Prover LLMs Generalize Beyond MathLib?
by: Taylor, Alexander K, et al.
Published: (2026)

Agentic Proving for Program Verification
by: Sosso, Alessandro, et al.
Published: (2026)

Entailment vs. Verification for Partial-assignment Satisfiability and Enumeration
by: Sebastiani, Roberto
Published: (2025)

Generating Millions Of Lean Theorems With Proofs By Exploring State Transition Graphs
by: Yin, David, et al.
Published: (2025)

Neural Network Verification using Partial Multi-Neuron Relaxation
by: Shmuel, Ido, et al.
Published: (2026)

Proceedings 19th International Workshop on the ACL2 Theorem Prover and Its Applications
by: Gamboa, Ruben, et al.
Published: (2025)

Equational Theorem Proving for Clauses over Strings
by: Kim, Dohan
Published: (2023)

Laurel: Unblocking Automated Verification with Large Language Models
by: Mugnier, Eric, et al.
Published: (2024)

Discovering New Theorems via LLMs with In-Context Proof Learning in Lean
by: Kasaura, Kazumi, et al.
Published: (2025)

Canonical for Automated Theorem Proving in Lean
by: Norman, Chase, et al.
Published: (2025)