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Sep 2026

MoC-KT: Mixture of Convolutions for Knowledge Tracing

Knowledge tracing (KT) aims to predict learners’ mastery levels of knowledge components (KCs) or test items based on their interaction records with educational content. Despite significant advancements in KT models, such as RNN-based sequence models and Transformer-based attention models, a critical limitation persists...

Mingliang Hou, Zitao Liu, Ren-Qiang Luo et al. · 0 citations
2026

Semantic Isomorphism Attacks and Defense Evaluation for Jailbreaking Large Language Models

The safety alignment of large language models (LLMs) faces persistent challenges from jailbreak attacks. While existing methods mostly leverage prompt engineering or adversarial optimization, we identify and formalize an underexplored semantic isomorphism vulnerability where harmful and safe scenarios share highly cons...

Fan Yang, Ke Wang, Wenzhou Dou et al. · 0 citations

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