Author

Ji-Liang Tang

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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. · ACM Transactions on Informat... · 0 citations

Book Jul 2026

Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation

This work introduces BONSAI : Branching-Optimized Node Structure for Adaptive Identifiers, a novel framework that co-designs textual term IDs and their underlying decoding trie that satisfies two desirable properties for a highly performant trie.

Jing-Zhe Liu, Han-Bing Wang, Ji-Liang Tang et al. · arXiv.org · 0 citations

Jul 2026

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates

This work comprehensively investigates computation-efficient strategies to speed up latent adversarial training from two complementary perspectives, and reduces per-step adversarial-training FLOPs by 48.1% while requiring only 0.0118% trainable parameters.

Weiyi He, Yuping Lin, Jiliang Tang et al. · arXiv.org · 0 citations