B

BLIP Math

Developed by uf-aice-lab
A vision-language model fine-tuned on a mathematical multimodal dataset, with text generation and scoring functions, designed specifically for mathematical problem analysis and feedback.
Downloads 77
Release Time : 9/14/2023

Model Overview

This model is a mathematics-specific version of the BLIP framework. It adds a scoring module through fine-tuning and supports the joint analysis of mathematical problem texts, students' answers, and handwritten images, and can generate feedback suggestions.

Model Features

Dual-output head design
It has both text generation and scoring functions, and can output descriptive feedback and quantitative scores.
Mathematics-specific optimization
Fine-tuned on a mathematical multimodal dataset, it is good at handling mathematical problems and handwritten solutions.
Multimodal input processing
Supports the joint analysis of four input sources: problem text, students' answers, problem images, and students' handwritten images.

Model Capabilities

Image description generation
Handwritten mathematical formula recognition
Problem-solving process analysis
Automatic scoring
Teaching feedback generation

Use Cases

Educational technology
Automatically grade math homework
Automatically generate scores and feedback by analyzing students' handwritten solution images and text answers.
Improve teachers' grading efficiency and provide immediate learning feedback.
Intelligent tutoring system
Identify incorrect steps in students' problem-solving processes and generate targeted guidance suggestions.
Provide personalized learning support and improve learning effects.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase