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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" (AAAI 2024)

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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: weibogao@mail.ustc.edu.cn

Environment Settings

We use Torch and DGL as the backend.

  • Torch version: '1.7.1'

Codes & Datasets

Coming 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: December 21, 2023

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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" (AAAI 2024)

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