xVerify-9B-C/README.md

base_model, language, license, tags, inference, task_categories, pipeline_tag, library_name

base_model	language	license	tags	inference	task_categories	pipeline_tag	library_name
THUDM/glm-4-9b-chat	en zh	cc-by-nc-nd-4.0	instruction-finetuning	false	text-generation	text-generation	transformers

🔍 xVerify-9B-C

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 was introduced in the paper xVerify: Efficient Answer Verifier for Reasoning Model Evaluations.

It accurately extracts the final answer from lengthy reasoning processes and efficiently identifies equivalence across different forms of expressions.

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✨ 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

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📚 Citation

@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},
}