Estimable 发表于 2025-3-25 03:53:32
Contemporary Medical Acupunctureard Expectation-Maximization to learn the best matching path iteratively. Extensive experiments on two popular KBQA datasets demonstrate the strong competitiveness of our model compared to previous state-of-the-art methods, especially in solving long path and spurious path problem.Scintigraphy 发表于 2025-3-25 11:19:35
Reflex Arcs: Basis of Acupuncturebution to the query relation of each path and give each arrival path a different soft reward that can distinguish its validity. In addition, our method leverages the curiosity mechanism to generate curiosity-driven intrinsic rewards, which can not only alleviate the reward sparsity issue but also dr丧失 发表于 2025-3-25 12:52:38
Disorders of the Nervous System method to get a small set of instances for NVC. Based on the small training set, we modify the basic two-step positive-unlabeled learning strategy to train the model. Extensive evaluations demonstrate that our model significantly outperforms a variety of baseline approaches.absorbed 发表于 2025-3-25 19:12:50
http://reply.papertrans.cn/27/2635/263438/263438_24.pngIndent 发表于 2025-3-25 21:30:18
https://doi.org/10.1007/978-1-349-00332-7h can capture trajectory’s future moving goal, so as to provide long-term information for spatio-temporal joint prediction. Furthermore, we carefully design a gating mechanism to fuse sequential and intentional information with different weights to reflect their importance in capturing current movembiopsy 发表于 2025-3-26 02:23:52
http://reply.papertrans.cn/27/2635/263438/263438_26.pngPsa617 发表于 2025-3-26 06:41:49
http://reply.papertrans.cn/27/2635/263438/263438_27.pngdowagers-hump 发表于 2025-3-26 12:11:06
http://reply.papertrans.cn/27/2635/263438/263438_28.png宇宙你 发表于 2025-3-26 14:12:37
http://reply.papertrans.cn/27/2635/263438/263438_29.pngantedate 发表于 2025-3-26 19:10:46
Triple-as-Node Knowledge Graph and Its Embeddingsce via attention. Experiments demonstrate that FactE not only significantly outperforms state-of-the-art models but also brings remarkable benefits for disambiguation of 1-N relations, revealing its potential usefulness.