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--- |
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inference: false |
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language: |
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- en |
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- zh |
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tags: |
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- instruction-finetuning |
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task_categories: |
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- text-generation |
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base_model: |
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- meta-llama/Llama-3.1-8B-Instruct |
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license: cc-by-nc-nd-4.0 |
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--- |
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<h1 align="center"> |
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🔍 xVerify-8B-I |
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</h1> |
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<p align="center"> |
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<div style="display: flex; justify-content: center; gap: 10px;"> |
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<a href="https://github.com/IAAR-Shanghai/xVerify"> |
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<img src="https://img.shields.io/badge/GitHub-Repository-blue?logo=github" alt="GitHub"/> |
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</a> |
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<a href="https://huggingface.co/IAAR-Shanghai/xVerify-8B-I"> |
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<img src="https://img.shields.io/badge/🤗%20Hugging%20Face-xVerify--8B--I-yellow" alt="Hugging Face"/> |
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</a> |
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</div> |
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</p> |
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xVerify is an evaluation tool fine-tuned from a pre-trained large language model, designed specifically for objective questions with a single correct answer. It accurately extracts the final answer from lengthy reasoning processes and efficiently identifies equivalence across different forms of expressions. |
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--- |
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## ✨ Key Features |
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### 📊 Broad Applicability |
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Suitable for various objective question evaluation scenarios including math problems, multiple-choice questions, classification tasks, and short-answer questions. |
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### ⛓️ Handles Long Reasoning Chains |
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Effectively processes answers with extensive reasoning steps to extract the final answer, regardless of complexity. |
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### 🌐 Multilingual Support |
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Primarily handles Chinese and English responses while remaining compatible with other languages. |
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### 🔄 Powerful Equivalence Judgment |
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- ✓ Recognizes basic transformations like letter case changes and Greek letter conversions |
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- ✓ Identifies equivalent mathematical expressions across formats (LaTeX, fractions, scientific notation) |
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- ✓ Determines semantic equivalence in natural language answers |
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- ✓ Matches multiple-choice responses by content rather than just option identifiers |
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--- |
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## 📚 Citation |
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```bibtex |
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@article{xVerify, |
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title={xVerify: Efficient Answer Verifier for Reasoning Model Evaluations}, |
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author={Ding Chen and Qingchen Yu and Pengyuan Wang and Wentao Zhang and Bo Tang and Feiyu Xiong and Xinchi Li and Minchuan Yang and Zhiyu Li}, |
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journal={arXiv preprint arXiv:2504.10481}, |
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year={2025}, |
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} |
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``` |
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