Cover Image

Combining Textual and Structural Information for Premise Selection in Lean

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Petrovčič, Job, Denis, David Eliecer Narvaez, Todorovski, Ljupčo
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computation and Language Logic in Computer Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Premise Selection for a Lean Hammer
by: Zhu, Thomas, et al.
Published: (2025)

Magnushammer: A Transformer-Based Approach to Premise Selection
by: Mikuła, Maciej, et al.
Published: (2023)

REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
by: Shen, Ziju, et al.
Published: (2025)

Herald: A Natural Language Annotated Lean 4 Dataset
by: Gao, Guoxiong, et al.
Published: (2024)

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

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

Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search
by: Lu, Jialin, et al.
Published: (2026)

Harnessing the Power of Semi-Structured Knowledge and LLMs with Triplet-Based Prefiltering for Question Answering
by: Boer, Derian, et al.
Published: (2024)

Conflict-Aware Fusion: Mitigating Logic Inertia in Large Language Models via Structured Cognitive Priors
by: Bao, Qiming, et al.
Published: (2025)

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

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

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models
by: Chen, Michael K., et al.
Published: (2025)

SATBench: Benchmarking LLMs' Logical Reasoning via Automated Puzzle Generation from SAT Formulas
by: Wei, Anjiang, et al.
Published: (2025)

Transformers Can Learn Connectivity in Some Graphs but Not Others
by: Roy, Amit, et al.
Published: (2025)

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

Reasoning Inconsistencies and How to Mitigate Them in Deep Learning
by: Arakelyan, Erik
Published: (2025)

Mathematics with large language models as provers and verifiers
by: Duc, Hieu Le, et al.
Published: (2025)

Are Language Models Efficient Reasoners? A Perspective from Logic Programming
by: Opedal, Andreas, et al.
Published: (2025)

Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning
by: Su, DiJia, et al.
Published: (2025)

A Neurosymbolic Approach to Natural Language Formalization and Verification
by: Bayless, Sam, et al.
Published: (2025)

The Geometry of Reasoning: Flowing Logics in Representation Space
by: Zhou, Yufa, et al.
Published: (2025)

Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
by: Xu, Yudong W., et al.
Published: (2025)

Hierarchical Attention Generates Better Proofs
by: Chen, Jianlong, et al.
Published: (2025)

Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

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

RLSF: Fine-tuning LLMs via Symbolic Feedback
by: Jha, Piyush, et al.
Published: (2024)

Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy Detection
by: Lalwani, Abhinav, et al.
Published: (2024)

Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
by: Bao, Qiming, et al.
Published: (2022)

Consistent Joint Decision-Making with Heterogeneous Learning Models
by: Faghihi, Hossein Rajaby, et al.
Published: (2024)

Controlling Logical Collapse in LLMs via Algebraic Ontology Projection over F2
by: Miyashita, Hisashi, et al.
Published: (2026)

Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning
by: Noël, Valentin
Published: (2026)

Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report)
by: Abdulla, Parosh Aziz, et al.
Published: (2024)

FLARE: Faithful Logic-Aided Reasoning and Exploration
by: Arakelyan, Erik, et al.
Published: (2024)

ImProver 2: Iteratively Self-Improving LMs for Neurosymbolic Proof Optimization
by: Ahuja, Riyaz, et al.
Published: (2026)

Quantifying artificial intelligence through algorithmic generalization
by: Ito, Takuya, et al.
Published: (2024)

DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree Search
by: Xin, Huajian, et al.
Published: (2024)

DeepOnto: A Python Package for Ontology Engineering with Deep Learning
by: He, Yuan, et al.
Published: (2023)

Bolzano: Case Studies in LLM-Assisted Mathematical Research
by: Balko, Martin, et al.
Published: (2026)

LeanCat: A Benchmark Suite for Formal Category Theory in Lean (Part I: 1-Categories)
by: Xu, Rongge, et al.
Published: (2025)

Process-Driven Autoformalization in Lean 4
by: Lu, Jianqiao, et al.
Published: (2024)