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@@ -7,13 +7,16 @@ pipeline_tag: text-generation
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  tags:
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  - reward model
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  ---
 
 
 
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  # FoVer
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  <p align="center">
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  <a href="https://fover-prm.github.io/">Project Website</a> | 📄 <a href="https://arxiv.org/abs/2505.15960">Paper</a> | 🛠️ <a href="https://github.com/psunlpgroup/FoVer">GitHub</a> | 🤗 <a href="https://huggingface.co/collections/ryokamoi/fover-682e28cc9f6200c7dfd5342f">Dataset</a> | 🤗 <a href="https://huggingface.co/collections/ryokamoi/fover-682e28cc9f6200c7dfd5342f">Models</a>
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  </p>
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- This repository includes code and materials for the paper "Training Step-Level Reasoning Verifiers with Formal Verification Tools".
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  Please refer to [Quick Start](#quick-start) for a quick start guide to evaluate your models on the FoVer dataset or evaluate the FoVer models on your dataset.
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@@ -37,11 +40,11 @@ Please refer to [Quick Start](#quick-start) for a quick start guide to evaluate
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  ```bibtex
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- @article{kamoi2025fover,
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- title = {Training Step-Level Reasoning Verifiers with Formal Verification Tools},
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- author = {Ryo Kamoi and Yusen Zhang and Nan Zhang and Sarkar Snigdha Sarathi Das and Rui Zhang},
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- journal = {arXiv preprint arXiv:2505.15960},
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- year = {2025},
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  }
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  ```
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  tags:
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  - reward model
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  ---
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+
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+ **This repository contains materials for a previous version of the paper. Please refer to the [latest version](https://github.com/psunlpgroup/FoVer).**
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+
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  # FoVer
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  <p align="center">
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  <a href="https://fover-prm.github.io/">Project Website</a> | 📄 <a href="https://arxiv.org/abs/2505.15960">Paper</a> | 🛠️ <a href="https://github.com/psunlpgroup/FoVer">GitHub</a> | 🤗 <a href="https://huggingface.co/collections/ryokamoi/fover-682e28cc9f6200c7dfd5342f">Dataset</a> | 🤗 <a href="https://huggingface.co/collections/ryokamoi/fover-682e28cc9f6200c7dfd5342f">Models</a>
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  </p>
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+ This repository includes code and materials for the paper "Efficient PRM Training Data Synthesis via Formal Verification".
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  Please refer to [Quick Start](#quick-start) for a quick start guide to evaluate your models on the FoVer dataset or evaluate the FoVer models on your dataset.
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  ```bibtex
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+ @inproceedings{kamoi2025fover,
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+ title = {Efficient PRM Training Data Synthesis via Formal Verification},
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+ author = {Ryo Kamoi and Yusen Zhang and Nan Zhang and Sarkar Snigdha Sarathi Das and Ranran Haoran Zhang and Wenpeng Yin and Rui Zhang},
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+ year = {2026},
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+ booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
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  }
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  ```
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