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of 2 312
pro vyhledávání: '"Zou Lei"'
While speculative decoding has recently appeared as a promising direction for accelerating the inference of large language models (LLMs), the speedup and scalability are strongly bounded by the token acceptance rate. Prevalent methods usually organiz
Externí odkaz:
http://arxiv.org/abs/2410.11744
Medical education relies heavily on Simulated Patients (SPs) to provide a safe environment for students to practice clinical skills, including medical image analysis. However, the high cost of recruiting qualified SPs and the lack of diverse medical
Externí odkaz:
http://arxiv.org/abs/2408.12236
Multi-modal knowledge graphs have emerged as a powerful approach for information representation, combining data from different modalities such as text, images, and videos. While several such graphs have been constructed and have played important role
Externí odkaz:
http://arxiv.org/abs/2408.01679
Unsupervised graph alignment finds the one-to-one node correspondence between a pair of attributed graphs by only exploiting graph structure and node features. One category of existing works first computes the node representation and then matches nod
Externí odkaz:
http://arxiv.org/abs/2406.13216
Autor:
Mandal, Debayan, Zou, Lei, Wilkho, Rohan Singh, Abedin, Joynal, Zhou, Bing, Cai, Heng, Baig, Furqan, Gharaibeh, Nasir, Lam, Nina
In an era of increased climatic disasters, there is an urgent need to develop reliable frameworks and tools for evaluating and improving community resilience to climatic hazards at multiple geographical and temporal scales. Defining and quantifying r
Externí odkaz:
http://arxiv.org/abs/2404.09463
Simulated Patients (SPs) play a crucial role in clinical medical education by providing realistic scenarios for student practice. However, the high cost of training and hiring qualified SPs, along with the heavy workload and potential risks they face
Externí odkaz:
http://arxiv.org/abs/2404.13066
Autor:
Lin, Binbin, Zou, Lei, Yang, Mingzheng, Zhou, Bing, Mandal, Debayan, Abedin, Joynal, Cai, Heng, Ning, Ning
The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse responses. These human responses in turn shaped the uneven spatial-tempo
Externí odkaz:
http://arxiv.org/abs/2404.10013
Diverse non-pharmacological interventions (NPIs), serving as the primary approach for COVID-19 control prior to pharmaceutical interventions, showed heterogeneous spatiotemporal effects on pandemic management. Investigating the dynamic compounding im
Externí odkaz:
http://arxiv.org/abs/2312.14161
Prevalent supervised learning methods in natural language processing (NLP) are notoriously data-hungry, which demand large amounts of high-quality annotated data. In practice, acquiring such data is a costly endeavor. Recently, the superior few-shot
Externí odkaz:
http://arxiv.org/abs/2310.19596
Incorporating multiple knowledge sources is proven to be beneficial for answering complex factoid questions. To utilize multiple knowledge bases (KB), previous works merge all KBs into a single graph via entity alignment and reduce the problem to que
Externí odkaz:
http://arxiv.org/abs/2309.05201