You can deploy this model and start earning money today!

IAAR-Shanghai/
xVerify-1B-I

Name: xVerify-1B-I
Availability: InStock

instruction-finetuning

conversational

IAAR-Shanghai/VAR

2504.10481

meta-llama/Llama-3.2-1B-Instruct

finetune

cc-by-nc-nd-4.0

text-generation-inference

Views

No views yet

🔍 xVerify-1B-I

GitHub

Paper

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

✨ 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

🚀 Sample Usage

According to the official repository, you can use the model for evaluation as follows:

python

# Single sample evaluation test
from src.xVerify.model import Model
from src.xVerify.eval import Evaluator

# initialization
model_name = 'xVerify-1B-I'  # Model name
url = 'IAAR-Shanghai/xVerify-1B-I'  # Model path or URL
inference_mode = 'local'  # Inference mode, 'local' or 'api'
api_key = None  # API key used to access the model via API, if not available, set to None

model = Model(
    model_name=model_name,
    model_path_or_url=url,
    inference_mode=inference_mode,
    api_key=api_key
)
evaluator = Evaluator(model=model)

# input evaluation information
question = "New steel giant includes Lackawanna site A major change is coming to the global steel industry and a galvanized mill in Lackawanna that formerly belonged to Bethlehem Steel Corp.
Classify the topic of the above sentence as World, Sports, Business, or Sci/Tech."
llm_output = "The answer is Business."
correct_answer = "Business"

# evaluation
result = evaluator.single_evaluate(
    question=question,
    llm_output=llm_output,
    correct_answer=correct_answer
)
print(result)

📚 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},
}