🔍 xVerify-0.5B-I

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. The model was introduced in the paper [xVerify: Efficient Answer Verifier for Reasoning Model Evaluations](https://huggingface.co/papers/2504.10481). --- ## ✨ Key Features ### 📊 Broad Applicability Suitable for various objective question evaluation scenarios including math problems, multiple-choice questions, classification tasks, and short-answer questions. ### ⛓️ Handles Long Reasoning Chains Effectively processes answers with extensive reasoning steps to extract the final answer, regardless of complexity. ### 🌐 Multilingual Support Primarily handles Chinese and English responses while remaining compatible with other languages. ### 🔄 Powerful Equivalence Judgment - ✓ Recognizes basic transformations like letter case changes and Greek letter conversions - ✓ Identifies equivalent mathematical expressions across formats (LaTeX, fractions, scientific notation) - ✓ Determines semantic equivalence in natural language answers - ✓ Matches multiple-choice responses by content rather than just option identifiers --- ## 🚀 Get Started For implementation details, datasets, and evaluation scripts, please visit the [official GitHub repository](https://github.com/IAAR-Shanghai/xVerify). ## 📚 Citation ```bibtex @article{xVerify, title={xVerify: Efficient Answer Verifier for Reasoning Model Evaluations}, 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}, journal={arXiv preprint arXiv:2504.10481}, year={2025}, } ```