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.
Suitable for various objective question evaluation scenarios including math problems, multiple-choice questions, classification tasks, and short-answer questions.
Effectively processes answers with extensive reasoning steps to extract the final answer, regardless of complexity.
Primarily handles Chinese and English responses while remaining compatible with other languages.
For implementation details, datasets, and evaluation scripts, please visit the
official GitHub repository.
1@article{xVerify,
2 title={xVerify: Efficient Answer Verifier for Reasoning Model Evaluations},
3 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},
4 journal={arXiv preprint arXiv:2504.10481},
5 year={2025},
6}
