浮雕宝石 发表于 2025-3-28 15:24:56
A Comparative Study of Chatbot Response Generation: Traditional Approaches Versus Large Language Modwe compare the quality of responses provided by LLM-based chatbots with those provided by traditional conversation design. The results suggest that in some cases the use of LLMs could improve the quality of chatbot responses. The paper concludes by suggesting that a combination of approaches is the令人不快 发表于 2025-3-28 20:41:07
http://reply.papertrans.cn/55/5441/544051/544051_42.pngDebark 发表于 2025-3-29 00:18:25
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ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Predictionroad network graph or external factors (e.g., weather, POIs) for prediction. However, in real traffic systems multimodal traffic data are collected from one or more co-located sensors, and data of non-target modality are not fully utilized by existing work. To overcome this limitation, we utilize muInsensate 发表于 2025-3-29 16:45:30
Sparse-View CT Reconstruction via Implicit Neural Intensity Functionsfforts are contributing to SVCT reconstruction, but it is still a challenging task for reconstructing high-quality CT images from high sparse-view level. In this paper, we proposed Implicit Neural Intensity Functions (INIF) representation to improve reconstruction quality. Our proposed method repres疼死我了 发表于 2025-3-29 20:56:34
http://reply.papertrans.cn/55/5441/544051/544051_48.pngechnic 发表于 2025-3-30 00:45:05
Cascade Sampling via Dual Uncertainty for Active Entity Alignmenty pairs as seed alignments to train an EA model. Recent effort has employed active learning (AL) to query more informative seed alignments for effective EA modeling at a lower cost. However, it still challenges existing AL methods to find and diversify seed alignments since true alignments themselve滑动 发表于 2025-3-30 08:05:32
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