Papers by Ziji Sheng

2 papers
Merger-as-a-Stealer: Stealing Targeted PII from Aligned LLMs with Model Merging (2025.emnlp-main)

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Challenge: Model merging is a promising approach for updating large language models . but unmonitored mergers can introduce significant security vulnerabilities .
Approach: They propose a model merging attack surface where a malicious merger can extract PII from an aligned model with model merg.
Outcome: The proposed framework can extract PII from an aligned model with model merging.
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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