Zobrazeno 1 - 10
of 43 167
pro vyhledávání: '"Simin ."'
Autor:
Luo, Xinchen, Cao, Jiangxia, Sun, Tianyu, Yu, Jinkai, Huang, Rui, Yuan, Wei, Lin, Hezheng, Zheng, Yichen, Wang, Shiyao, Hu, Qigen, Qiu, Changqing, Zhang, Jiaqi, Zhang, Xu, Yan, Zhiheng, Zhang, Jingming, Zhang, Simin, Wen, Mingxing, Liu, Zhaojie, Gai, Kun, Zhou, Guorui
In recent years, with the significant evolution of multi-modal large models, many recommender researchers realized the potential of multi-modal information for user interest modeling. In industry, a wide-used modeling architecture is a cascading para
Externí odkaz:
http://arxiv.org/abs/2411.11739
Autor:
Ren, Shu-Liang, Pang, Simin, Guan, Shan, Sun, Yu-Jia, Zhang, Tian-Yu, Jiang, Nai, Guo, Jiaqi, Zheng, Hou-Zhi, Luo, Jun-Wei, Tan, Ping-Heng, Shen, Chao, Zhang, Jun
Broken symmetry plays a pivotal role in determining the macroscopic electrical, optical, magnetic, and topological properties of materials. Circular dichroism (CD) has been widely employed to probe broken symmetry in various systems, from small molec
Externí odkaz:
http://arxiv.org/abs/2411.08667
Autor:
Wu, Jiaqi, Chen, Simin, Yang, Yuzhe, Li, Yijiang, Hou, Shiyue, Jing, Rui, Wang, Zehua, Chen, Wei, Tian, Zijian
In recent years, large language models (LLMs) have significantly advanced the field of natural language processing (NLP). By fine-tuning LLMs with data from specific scenarios, these foundation models can better adapt to various downstream tasks. How
Externí odkaz:
http://arxiv.org/abs/2411.00985
Autor:
Wu, Jiaqi, Chen, Simin, Wang, Zehua, Chen, Wei, Tian, Zijian, Yu, F. Richard, Leung, Victor C. M.
As the volume of image data grows, data-oriented cloud computing in Internet of Video Things (IoVT) systems encounters latency issues. Task-oriented edge computing addresses this by shifting data analysis to the edge. However, limited computational p
Externí odkaz:
http://arxiv.org/abs/2411.00838
Autor:
Xu, Kai-Xuan, Liu, Xin-bao, Pang, Simin, Zhang, Zhe, Wang, Yubin, Luo, Jiajun, Tang, Jiang, Xiong, Qihua, Meng, Sheng, Gao, Shiwu, Zhang, Jun
Self-trapped excitons (STEs), renowned for their unique radiative properties, have been harnessed in diverse photonic devices. Yet, a full comprehension and manipulation of STEs remain elusive. In this study, we present novel experimental and theoret
Externí odkaz:
http://arxiv.org/abs/2410.20654
Retrieval-Augmented Generation (RAG), while serving as a viable complement to large language models (LLMs), often overlooks the crucial aspect of text chunking within its pipeline, which impacts the quality of knowledge-intensive tasks. This paper in
Externí odkaz:
http://arxiv.org/abs/2410.12788
Despite the well-established importance of feedback in education, the application of Artificial Intelligence (AI)-generated feedback, particularly from language models like ChatGPT, remains understudied in translation education. This study investigat
Externí odkaz:
http://arxiv.org/abs/2410.08581
Autor:
Yu, Qingchen, Song, Shichao, Fang, Ke, Shi, Yunfeng, Zheng, Zifan, Wang, Hanyu, Niu, Simin, Li, Zhiyu
As the application of Large Language Models (LLMs) expands, the demand for reliable evaluations increases. Existing LLM evaluation benchmarks primarily rely on static datasets, making it challenging to assess model performance in dynamic interactions
Externí odkaz:
http://arxiv.org/abs/2410.05262
Influence functions provide a principled method to assess the contribution of individual training samples to a specific target. Yet, their high computational costs limit their applications on large-scale models and datasets. Existing methods proposed
Externí odkaz:
http://arxiv.org/abs/2410.05090
Autor:
Terenzi, Lorenzo, Nubert, Julian, Eyschen, Pol, Roth, Pascal, Fei, Simin, Jelavic, Edo, Hutter, Marco
Construction sites are challenging environments for autonomous systems due to their unstructured nature and the presence of dynamic actors, such as workers and machinery. This work presents a comprehensive panoptic scene understanding solution design
Externí odkaz:
http://arxiv.org/abs/2410.04250