Saved in:
| Main Authors: | Narozniak, Gaetan, Biau, Gérard, Munos, Rémi, Rammal, Ahmad, Marion, Pierre |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.30861 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Automatic Textbook Formalization
by: Gloeckle, Fabian, et al.
Published: (2026)
by: Gloeckle, Fabian, et al.
Published: (2026)
Formalizing Mathematics at Scale
by: Rammal, Ahmad, et al.
Published: (2026)
by: Rammal, Ahmad, et al.
Published: (2026)
LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving
by: Onda, Naoto, et al.
Published: (2025)
by: Onda, Naoto, et al.
Published: (2025)
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
by: Song, Peiyang, et al.
Published: (2024)
by: Song, Peiyang, et al.
Published: (2024)
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
by: Gao, Guoxiong, et al.
Published: (2026)
by: Gao, Guoxiong, et al.
Published: (2026)
LeanAgent: Lifelong Learning for Formal Theorem Proving
by: Kumarappan, Adarsh, et al.
Published: (2024)
by: Kumarappan, Adarsh, et al.
Published: (2024)
Super-Exponential Regret for UCT, AlphaGo and Variants
by: Orseau, Laurent, et al.
Published: (2024)
by: Orseau, Laurent, et al.
Published: (2024)
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
by: Arnal, Charles, et al.
Published: (2025)
by: Arnal, Charles, et al.
Published: (2025)
Discover and Prove: An Open-source Agentic Framework for Hard Mode Automated Theorem Proving in Lean 4
by: Liu, Chengwu, et al.
Published: (2026)
by: Liu, Chengwu, et al.
Published: (2026)
Proving Theorems Recursively
by: Wang, Haiming, et al.
Published: (2024)
by: Wang, Haiming, et al.
Published: (2024)
Lean-STaR: Learning to Interleave Thinking and Proving
by: Lin, Haohan, et al.
Published: (2024)
by: Lin, Haohan, et al.
Published: (2024)
LeanProgress: Guiding Search for Neural Theorem Proving via Proof Progress Prediction
by: George, Robert Joseph, et al.
Published: (2025)
by: George, Robert Joseph, et al.
Published: (2025)
Physics-informed machine learning as a kernel method
by: Doumèche, Nathan, et al.
Published: (2024)
by: Doumèche, Nathan, et al.
Published: (2024)
MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
by: Wang, Ruida, et al.
Published: (2025)
by: Wang, Ruida, et al.
Published: (2025)
Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations
by: Quan, Xin, et al.
Published: (2025)
by: Quan, Xin, et al.
Published: (2025)
Rethinking Supervision Granularity: Segment-Level Learning for LLM-Based Theorem Proving
by: Xu, Shuo, et al.
Published: (2026)
by: Xu, Shuo, et al.
Published: (2026)
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
by: Zhang, Ziyin, et al.
Published: (2025)
by: Zhang, Ziyin, et al.
Published: (2025)
From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates
by: Zuo, Ruobing, et al.
Published: (2026)
by: Zuo, Ruobing, et al.
Published: (2026)
Lean Meets Theoretical Computer Science: Scalable Synthesis of Theorem Proving Challenges in Formal-Informal Pairs
by: Zhang, Terry Jingchen, et al.
Published: (2025)
by: Zhang, Terry Jingchen, et al.
Published: (2025)
A Minimal Agent for Automated Theorem Proving
by: Requena, Borja, et al.
Published: (2026)
by: Requena, Borja, et al.
Published: (2026)
A Survey on Deep Learning for Theorem Proving
by: Li, Zhaoyu, et al.
Published: (2024)
by: Li, Zhaoyu, et al.
Published: (2024)
A Combinatorial Identities Benchmark for Theorem Proving via Automated Theorem Generation
by: Xiong, Beibei, et al.
Published: (2025)
by: Xiong, Beibei, et al.
Published: (2025)
BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving
by: Xin, Ran, et al.
Published: (2025)
by: Xin, Ran, et al.
Published: (2025)
LLM-based Automated Theorem Proving Hinges on Scalable Synthetic Data Generation
by: Lai, Junyu, et al.
Published: (2025)
by: Lai, Junyu, et al.
Published: (2025)
STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving
by: Dong, Kefan, et al.
Published: (2025)
by: Dong, Kefan, et al.
Published: (2025)
Steering LLMs for Formal Theorem Proving
by: Kirtania, Shashank, et al.
Published: (2025)
by: Kirtania, Shashank, et al.
Published: (2025)
Aristotle: IMO-level Automated Theorem Proving
by: Achim, Tudor, et al.
Published: (2025)
by: Achim, Tudor, et al.
Published: (2025)
Type-Checked Compliance: Deterministic Guardrails for Agentic Financial Systems Using Lean 4 Theorem Proving
by: Rashie, Devakh, et al.
Published: (2026)
by: Rashie, Devakh, et al.
Published: (2026)
Partial Label Learning for Automated Theorem Proving
by: Zombori, Zsolt, et al.
Published: (2025)
by: Zombori, Zsolt, et al.
Published: (2025)
Spectral bandits
by: Kocák, Tomáš, et al.
Published: (2026)
by: Kocák, Tomáš, et al.
Published: (2026)
Positional Encoding via Token-Aware Phase Attention
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Reviving DSP for Advanced Theorem Proving in the Era of Reasoning Models
by: Cao, Chenrui, et al.
Published: (2025)
by: Cao, Chenrui, et al.
Published: (2025)
Alchemy: Amplifying Theorem-Proving Capability through Symbolic Mutation
by: Wu, Shaonan, et al.
Published: (2024)
by: Wu, Shaonan, et al.
Published: (2024)
Mathesis: Towards Formal Theorem Proving from Natural Languages
by: Xuejun, Yu, et al.
Published: (2025)
by: Xuejun, Yu, et al.
Published: (2025)
Psychometric-Based Evaluation for Theorem Proving with Large Language Models
by: Zhang, Jianyu, et al.
Published: (2025)
by: Zhang, Jianyu, et al.
Published: (2025)
PhysProver: Advancing Automatic Theorem Proving for Physics
by: Zhang, Hanning, et al.
Published: (2026)
by: Zhang, Hanning, et al.
Published: (2026)
RLMEval: Evaluating Research-Level Neural Theorem Proving
by: Poiroux, Auguste, et al.
Published: (2025)
by: Poiroux, Auguste, et al.
Published: (2025)
Lyra: Orchestrating Dual Correction in Automated Theorem Proving
by: Zheng, Chuanyang, et al.
Published: (2023)
by: Zheng, Chuanyang, et al.
Published: (2023)
Learning to Reason with Insight for Informal Theorem Proving
by: Li, Yunhe, et al.
Published: (2026)
by: Li, Yunhe, et al.
Published: (2026)
HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement
by: Hu, Jilin, et al.
Published: (2025)
by: Hu, Jilin, et al.
Published: (2025)
Similar Items
-
Automatic Textbook Formalization
by: Gloeckle, Fabian, et al.
Published: (2026) -
Formalizing Mathematics at Scale
by: Rammal, Ahmad, et al.
Published: (2026) -
LeanConjecturer: Automatic Generation of Mathematical Conjectures for Theorem Proving
by: Onda, Naoto, et al.
Published: (2025) -
Lean Copilot: Large Language Models as Copilots for Theorem Proving in Lean
by: Song, Peiyang, et al.
Published: (2024) -
LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
by: Gao, Guoxiong, et al.
Published: (2026)