bigdata-ustc / zero-1-to-3

Source codes and datasets for paper "Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives" (AAAI2024)

Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives

This repository contains the implementation for the paper titled Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives, published at AAAI 2024 [Paper].

Authors: Weibo Gao, Qi Liu, Hao Wang, et al.

Email: [email protected]

Environment Settings

We use Torch and DGL as the backend.

• Torch version: '1.7.1'

Codes & Datasets

Details about the codes and datasets will be provided soon.

Related Works

• RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems (SIGIR'2021) [Paper] [Code] [Presentation Video]

• Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis (SIGIR'2023) [Paper] [Code] [Presentation Video]

• FedJudge: Federated Legal Large Language Model [Paper] [Code]

Last Update Date: March 14, 2024

zero-1-to-3's Issues

When can the code and dataset be published？

Hello, I am very interested in your work. Since the article has been published in AAAI2024.when can you publish the code and dataset for this article?