Create README.md

README.md

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+---
+license: apache-2.0
+language:
+- en
+base_model:
+- BAAI/bge-m3
+pipeline_tag: sentence-similarity
+library_name: transformers
+tags:
+- lean4
+- dependency-retrieval
+- formal-mathematics
+---
+
+<div align="center">
+  <h1 style="font-size: 1.5em;">[ICLR'25 Spotlight] Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach</h1>
+  <div style="display: flex; justify-content: center; gap: 8px; flex-wrap: wrap;">
+    <a href="https://choosealicense.com/licenses/apache-2.0/"><img src="https://img.shields.io/badge/License-Apache%202.0-blue.svg" alt="License: Apache 2.0"></a>
+    <a href="https://github.com/leanprover-community/mathlib4"><img src="https://img.shields.io/badge/Lean-4-orange" alt="Lean 4"></a>
+    <a href="https://github.com/Purewhite2019/rethinking_autoformalization"><img src="https://img.shields.io/badge/GitHub-%23121011.svg?logo=github&logoColor=white" alt="GitHub"></a>
+  </div>
+  <h2>Qi Liu, Xinhao Zheng, Xudong Lu, Qinxiang Cao, Junchi Yan* (* indicates Correspondence author)</h2>
+  <h2>Sch. of Computer Science & Sch. of Artificial Intelligence, Shanghai Jiao Tong University</h2>
+</div>
+
+Please refer to the [📺GitHub repo](https://github.com/Purewhite2019/rethinking_autoformalization) and 
+[📃Paper](https://openreview.net/pdf?id=hUb2At2DsQ) for more details.
+
+
+## 📈 Performance
+| **Bench**     | **Fmt** | **Method** | **Recall@5** | **Precision@5** |
+|---------------|---------|------------|--------------|-----------------|
+| **ProofNet** | F    | BM25       | 0.16%        | 0.11%           |
+|               | F    | DR         | 35.52%       | 22.89%          |
+|               | F+IF  | BM25       | 0.00%        | 0.00%           |
+|               | F+IF  | DR         | 32.47%       | 20.32%          |
+|   **Con-NF**  | F    | BM25       | 4.41%        | 2.37%           |
+|               | F    | DR         | 24.32%       | 14.05%          |
+|               | F+IF  | BM25       | 9.86%        | 6.95%           |
+|               | F+IF  | DR         | 27.91%       | 17.57%          |
+
+## ⚙️ Usage
+- [🤗`purewhite42/bm25_f`](https://huggingface.co/purewhite42/bm25_f): BM25 dependency retriever whose inputs are formatted using only formal declarations, based on [Rank-BM25](https://github.com/dorianbrown/rank_bm25)
+- [🤗`purewhite42/bm25_f_if`](https://huggingface.co/purewhite42/bm25_f_if): BM25 dependency retriever whose inputs are formatted using both formal declarations and informal descriptions, based on [Rank-BM25](https://github.com/dorianbrown/rank_bm25)
+```shell
+python -m retriever.retrieve_bm25 \
+    --model_path /path/to/the/model \
+    --save_path /path/to/output/results \
+    --eval_set ... # {proofnet, connf}
+```
+## 📚 Citation
+If you find our work useful in your research, please cite
+```bibtex
+@inproceedings{
+liu2025rethinking,
+title={Rethinking and improving autoformalization: towards a faithful metric and a Dependency Retrieval-based approach},
+author={Qi Liu and Xinhao Zheng and Xudong Lu and Qinxiang Cao and Junchi Yan},
+booktitle={The Thirteenth International Conference on Learning Representations},
+year={2025},
+url={https://openreview.net/forum?id=hUb2At2DsQ}
+}
+```
+
+# License
+This project is released under the Apache 2.0 license. Please see the [LICENSE](https://github.com/Purewhite2019/rethinking_autoformalization/blob/main/LICENSE) file for more information.
+
+# Contact
+Feel free to discuss the paper/data/code with us through issues/emails!
+- Qi Liu: [email protected]