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T5 Large Distractor Generation

Developed by fares7elsadek
This model is a fine-tuned T5-large model for distractor generation tasks in multiple-choice questions.
Downloads 86
Release Time : 2/17/2025

Model Overview

Utilizing T5's text-to-text framework, this model generates three plausible distractors by inputting questions, context, and correct answers, specifically designed for educational multiple-choice question generation.

Model Features

Custom delimiters
Uses custom delimiters to separate different parts of input and output sequences, enhancing model comprehension and generation capabilities.
Multi-distractor generation
Generates three distractors simultaneously, improving efficiency in multiple-choice question generation.
PyTorch Lightning-based
Fine-tuned using the PyTorch Lightning framework to optimize the training process.

Model Capabilities

Distractor generation
Text generation
Educational applications

Use Cases

Education
Multiple-choice question generation
Generates plausible distractors for multiple-choice questions to enhance question quality.
Generated distractors exhibit high n-gram overlap (BLEU scores) with reference distractors.
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