Papers by Guiyao Tie

2 papers
SafeAgent: Safeguarding LLM Agents via an Automated Risk Simulator (2026.acl-long)

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Challenge: SafeAgent improves agent safety through fully automated synthetic data generation.
Approach: They propose a framework that improves agent safety through fully automated synthetic data generation.
Outcome: The proposed framework outperforms closed-source models on two safety benchmarks and one real-world task.
LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path Planning (2026.acl-long)

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Challenge: Existing adaptive learning systems struggle to achieve deep personalization, dynamic adaptability, and content trustworthiness.
Approach: They propose a framework that integrates large language models into adaptive learning systems . they propose 'cognitive multi-model planning adapted system' to enable deep personalization .
Outcome: The proposed framework outperforms state-of-the-art learning paths and improves trustworthiness.

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