Automatically obtaining descriptions of the functions of code snippets in natural language, i.e., code summarization, is an important issue in software engineering. In recent years, abstract syntax tree (AST)-based code summarization models for modelling syntactic structures have continued to emerge. ...
在我读过的另一篇文章《Diversity driven Attention Model for Query-based Abstractive Summarization》中,作者试图用query的context干涉document的context,而不直接显性参与decoder的过程。 文中计算权值的时候,充分考虑了各种可能性;在Image Attention Filter那一块,将数个特征非线性组合起来,虽然显得参数有点多,好在不无...
Summarization of multimedia data becomes increasingly significant as it is the basis for many real-world applications, such as question answering, Web search, and so forth. Most existing multi-modal summarization works however have used visual complementary features extracted from images rather than vide...
The rapid increase in multimedia data transmission over the Internet necessitates the multi-modal summarization (MMS) from collections of text, image, audio and video. In this work, we propose an extrac- tive multi-modal summarization method that can automatically generate a textual summary given ...
Multi-modal large language models (MLLMs) have demonstrated impressive performance in vision-language tasks across a wide range of domains. However, the la
A document-sensitive graph model for multi-document summarization. Knowl Inform Syst, 2010, 22: 245--259. Google Scholar [74] Myunghwan K, Jure L. Latent multi-group membership graph model. Comput Sci, 2012, 80. Google Scholar [75] Honorio J, Samaras D. Multi-task learning of ...
HSA-RNN: hierarchical structure-adaptive RNN for video summarization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018. 7405--7414. Google Scholar [102] Vetter T, Poggio T. Linear object classes and image synthesis from a single example image. IEEE ...
Video Summarization is a video compression/compaction technique to create a shorter yet informative version of original video. Video summarization has offered solutions to plenty of media, user and engineering applications. Though sports video summarization has been an active research topic for some time...
HSA-RNN: hierarchical structure-adaptive RNN for video summarization. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018. 7405--7414. Google Scholar [102] Vetter T, Poggio T. Linear object classes and image synthesis from a single example image. IEEE ...
EHR summarization, differential diagnosis generation, and patient education. By streamlining these tasks, LLMs and MLLMs could reduce radiologist workload, improve diagnostic accuracy, support interdisciplinary collaboration, and ultimately enhance patient care. We also discuss key limitations, such as the...