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

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

Author: Weibo Gao, Qi Liu, Hao Wang, Linan Yue et al.

Email: [email protected]

Environment Settings

We use Torch and DGL as the backend.

• Torch version: '1.7.1'

Codes & Datasets

Coming soon~~~

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• 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: December 21, 2023