Excise 发表于 2025-3-23 12:16:16
Attention and Learning Features-Enhanced Knowledge Tracingrity of ALFKT, with a remarkable 12.69% improvement in AUC over the optimal baseline model on the ASSIST2012 dataset. Additional studies authenticate the influence of each component within ALFKT. Overall, ALFKT represents a significant advancement in accurately tracing students’ knowledge states andslipped-disk 发表于 2025-3-23 17:49:30
Knowledge-Informed Molecular Learning: A Survey on Paradigm Transferlassify the paradigms, scrutinize their methodologies, and dissect the contribution of domain knowledge. Moreover, we encapsulate prevailing trends and identify intriguing avenues for future exploration in molecular learning.举止粗野的人 发表于 2025-3-23 18:12:36
DSCVSR: A Lightweight Video Super-Resolution for Arbitrary Magnificationproblem of information loss brought about by the depthwise separable convolution information loss problem caused by deep separable convolution, and a knowledge distillation loss is designed to migrate the knowledge from the teacher’s model to the model to achieve the superscoring results with arbitr善变 发表于 2025-3-23 22:15:24
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User Story Classification with Machine Learning and LLMsed Llama. However, its performance was still far below that achieved by classical machine learning methods. We believe that our is novel as we are the first to study the problem of classifying ., and as we investigate how LLMs perform in this problem.heartburn 发表于 2025-3-24 14:57:37
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http://reply.papertrans.cn/55/5441/544043/544043_19.png外科医生 发表于 2025-3-25 01:35:29
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