Titlebook: Knowledge Science, Engineering and Management; 16th International C Zhi Jin,Yuncheng Jiang,Wenjun Ma Conference proceedings 2023 The Editor

浮雕宝石

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

Debark

mighty

PATHY

kindred

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 mu

Insensate

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

echnic

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

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