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README.md
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## Overview
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**REAL-Prover** is a retrieval-augmented, stepwise large language model-based theorem prover for **Lean 4**. It is built on top of **Qwen2.5-Math-7B**, and fine-tuned using our custom pipeline and dataset to support formal reasoning in Lean. The model is integrated with a retrieval module (**Leansearch-PS**) that fetches relevant theorems from the Lean math library to enhance generation quality.
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- Evaluations on both **ProofNet** and our proposed benchmark **FATE-M**
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## Associated Paper
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**REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning**
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[arXiv:2505.20613](https://arxiv.org/abs/2505.20613)
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**Repository**: [https://github.com/frenzymath/REAL-Prover](https://github.com/frenzymath/REAL-Prover)
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### Input Data Format
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python -m experiment.run /path/to/config.toml
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## Citation
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```bibtex
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@article{shen2025realproverretrievalaugmentedlean,
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</div>
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## 1. Overview
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**REAL-Prover** is a retrieval-augmented, stepwise large language model-based theorem prover for **Lean 4**. It is built on top of **Qwen2.5-Math-7B**, and fine-tuned using our custom pipeline and dataset to support formal reasoning in Lean. The model is integrated with a retrieval module (**Leansearch-PS**) that fetches relevant theorems from the Lean math library to enhance generation quality.
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- Evaluations on both **ProofNet** and our proposed benchmark **FATE-M**
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## 2. Associated Paper
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**REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning**
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[arXiv:2505.20613](https://arxiv.org/abs/2505.20613)
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## 3. Running Experiments
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**Repository**: [https://github.com/frenzymath/REAL-Prover](https://github.com/frenzymath/REAL-Prover)
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### Input Data Format
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python -m experiment.run /path/to/config.toml
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```
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## 4. Citation
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```bibtex
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@article{shen2025realproverretrievalaugmentedlean,
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