X

Xfinder Qwen1505

Developed by IAAR-Shanghai
xFinder-qwen1505 is a model specifically designed for key answer extraction in large language models (LLMs), fine-tuned from Qwen-1.5-0.5B.
Downloads 234.62k
Release Time : 5/19/2024

Model Overview

xFinder is primarily used to enhance evaluation effectiveness by accurately extracting key answers from the outputs of large language models. It addresses the limitations of traditional regular expression (RegEx)-based extraction methods when handling diverse and complex outputs generated by large language models, significantly improving the reliability of cross-task model evaluation.

Model Features

Precise Answer Extraction
Capable of accurately extracting key answers from diverse and complex outputs of large language models.
High Robustness
Performs more robustly compared to traditional regular expression-based methods when handling complex outputs.
Multi-Task Support
Suitable for key answer extraction across various task types.

Model Capabilities

Key Answer Extraction
Text Generation
Model Evaluation Enhancement

Use Cases

Model Evaluation
Automated Evaluation Tool
Used for automated evaluation of large language model outputs, improving evaluation reliability.
Significantly enhances the reliability of cross-task model evaluation.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase