Theorem Proving papers, 2023–2026
Automated proving
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 80 papers are tagged with this topic.
Key findings
- Theorem Proving went from 3 papers in 2023 to 38 in 2026, roughly 13x in three years.
- ICLR publishes the most Theorem Proving work: 32 papers from 2023 to 2026, 40% of the four-venue total.
- The fastest-growing overlap is with Mathematical Reasoning: papers tagged with both rose from 1 in 2023 to 16 in 2026.
- Among the 5 topics under Program Synthesis, it ranks #3 by 2026 paper count; the fastest grower in the group, Formal Verification ML, is up 3.7x versus 13x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 0 | 2 | 1 | 0 | 3 |
| 2024 | 8 | 8 | 3 | 0 | 19 |
| 2025 | 9 | 7 | 3 | 1 | 20 |
| 2026 | 6 | 15 | 17 | 0 | 38 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026A Theoretical Framework for Self-Play Theorem Proving Algorithms
- ICML 2026Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
- ICLR 2026LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction
- NeurIPS 20253D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
- ICML 2025Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods
- ICLR 2025Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
- CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
- NeurIPS 2024FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving
- ICML 2024Position: The No Free Lunch Theorem, Kolmogorov Complexity, and the Role of Inductive Biases in Machine Learning
- ICLR 2024A Characterization Theorem for Equivariant Networks with Point-wise Activations
- ICML 2023Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti's Theorem for Markov Chains
- ICLR 2023Formal Mathematics Statement Curriculum Learning
- NeurIPS 2026Compositional Generalization Certificates via the Van Kampen Theorem
- ICML 2026Editable Proof Sketch for Automated Theorem Proving
- ICLR 2026Premise Selection for a Lean Hammer
- NeurIPS 2025Ineq-Comp: Benchmarking Human-Intuitive Compositional Reasoning in Automated Theorem Proving of Inequalities
- ICML 2025ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
- ICLR 2025ImProver: Agent-Based Automated Proof Optimization
- NeurIPS 2024Proving Olympiad Algebraic Inequalities without Human Demonstrations
- ICML 2024Subgoal-based Demonstration Learning for Formal Theorem Proving
All Theorem Proving papers
80 papers, page 1 of 2
- ICLR 2026A Representer Theorem for Hawkes Processes via Penalized Least Squares Minimization
- ICLR 2026EvolProver: Advancing Automated theorem proving by Evolving Formalized Problems via Symmetry and Difficulty
- ICLR 2026FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory
- ICLR 2026GAR: Generative Adversarial Reinforcement Learning for Formal Theorem Proving
- ICLR 2026Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
- ICLR 2026Hilbert: Recursively Building Formal Proofs with Informal Reasoning
- ICLR 2026Let's Explore Step by Step: Generating Provable Formal Statements with Deductive Exploration
- ICLR 2026LoC-Decomp: LLM Autoformalization via Logical Concept Decomposition and Iterative Feedback Correction
- ICLR 2026Mathesis: Towards Formal Theorem Proving from Natural Languages
- ICLR 2026Neural Theorem Proving for Verification Conditions: A Real-World Benchmark
- ICLR 2026Premise Selection for a Lean Hammer
- ICLR 2026Process-Verified Reinforcement Learning for Theorem Proving via Lean
- ICLR 2026ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings
- ICLR 2026ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization
- ICLR 2026VERINA: Benchmarking Verifiable Code Generation
- ICML 2026A Minimal Agent for Automated Theorem Proving
- ICML 2026APE-Bench: Evaluating Automated Proof Engineering for Formal Math Libraries
- ICML 2026Automated Formal Proofs of Combinatorial Identities via Wilf–Zeilberger Guidance and LLMs
- ICML 2026Beyond Theorem Proving: Formulation, Framework and Benchmark for Formal Problem-Solving
- ICML 2026BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
- ICML 2026Can LLMs Reason Like Automated Theorem Provers for Rust Verification? VCoT-Bench: Evaluating via Verification Chain of Thought
- ICML 2026Compile to Compress: Boosting Formal Theorem Provers by Compiler Outputs
- ICML 2026Editable Proof Sketch for Automated Theorem Proving
- ICML 2026Enhancing Neural Theorem Proving via High-Quality Proof Selection and Verifier Feedback
- ICML 2026Euclean: Automated Geometry Problem Formalization with Unified Verification in Lean
- ICML 2026Faults in Our Formal Benchmarking: Dataset Defects and Evaluation Failures in Lean Theorem Proving
- ICML 2026From LLM-Generated Conjectures to Lean Formalizations: Automated Polynomial Inequality Proving via Sum-of-Squares Certificates
- ICML 2026Hallucination is a Consequence of Space-Optimality: A Rate-Distortion Theorem for Membership Testing
- ICML 2026miniF2F-Dafny: LLM-Guided Mathematical Theorem Proving via Auto-Active Verification
- ICML 2026OptProver: Bridging Olympiad and Optimization through Continual Training in Formal Theorem Proving
- ICML 2026SorryDB: Can AI Provers Complete Real-World Lean Theorems?
- ICML 2026Towards Execution-Grounded Automated AI Research
- NeurIPS 2026A Theoretical Framework for Self-Play Theorem Proving Algorithms
- NeurIPS 2026Compositional Generalization Certificates via the Van Kampen Theorem
- NeurIPS 2026DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving
- NeurIPS 2026Distilling LLM Feedback for Lean Theorem Proving
- NeurIPS 2026How does RL Post-training Induce Skill Composition? A Case Study on Countdown
- NeurIPS 2026LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving
- CVPR 2025Automated Proof of Polynomial Inequalities via Reinforcement Learning
- ICLR 2025Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation
- ICLR 2025CARTS: Advancing Neural Theorem Proving with Diversified Tactic Calibration and Bias-Resistant Tree Search
- ICLR 2025Deep Learning Alternatives Of The Kolmogorov Superposition Theorem
- ICLR 2025ImProver: Agent-Based Automated Proof Optimization
- ICLR 2025LeanAgent: Lifelong Learning for Formal Theorem Proving
- ICLR 2025miniCTX: Neural Theorem Proving with (Long-)Contexts
- ICLR 2025Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
- ICML 2025MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving
- ICML 2025Position: Trustworthy AI Agents Require the Integration of Large Language Models and Formal Methods
- ICML 2025ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
- NeurIPS 20253D-Prover: Diversity Driven Theorem Proving With Determinantal Point Processes
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FAQ
- How many Theorem Proving papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 80 in total: 3 in 2023, 19 in 2024, 20 in 2025, 38 in 2026.
- How many Theorem Proving papers are at NeurIPS 2026?
- NeurIPS 2026 has 6 Theorem Proving papers, versus 9 the year before.
- How many Theorem Proving papers are at ICLR 2026?
- ICLR 2026 has 15 Theorem Proving papers, versus 7 the year before.
- How many Theorem Proving papers are at ICML 2026?
- ICML 2026 has 17 Theorem Proving papers, versus 3 the year before.
- How many Theorem Proving papers are at CVPR 2025?
- CVPR 2025 has 1 Theorem Proving papers.
- Which conference publishes the most Theorem Proving papers?
- ICLR, with 32 papers from 2023 to 2026.