Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025)
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Updated
May 10, 2025 - Python
Agent4Edu: Generating Learner Response Data by LLM-based Agents for Intelligent Education Systems (AAAI 2025)
Official Code for SIGIR 2022 "A Multi-task Based Neural Model to Simulate Users in Goal Oriented Dialogue Systems". User Simulator generates user-side utterance, predicts user's next action and satisfaction level.
"Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems" in SIGIR'21
In-Context Learning User Simulators for Task-Oriented Dialog Systems
Modeling user satisfaction dynamics using a discrete Hawkes process
Code for paper "IvCDS: An End-to-end Driver Simulator For Personal In-vehicle Conversational Assistant"
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