Zobrazeno 1 - 10
of 1 389
pro vyhledávání: '"CHEN, Jingyuan"'
Retrieval-Augmented Generation (RAG) has proven to be an effective method for mitigating hallucination issues inherent in large language models (LLMs). Previous approaches typically train retrievers based on semantic similarity, lacking optimization
Externí odkaz:
http://arxiv.org/abs/2411.03957
Multimodal learning has developed very fast in recent years. However, during the multimodal training process, the model tends to rely on only one modality based on which it could learn faster, thus leading to inadequate use of other modalities. Exist
Externí odkaz:
http://arxiv.org/abs/2411.01409
Autor:
Chen, Jingyuan, Yang, Yunze, Feng, Hongying, Liu, Chenbin, Zhang, Lian, Holmes, Jason M., Liu, Zhengliang, Lin, Haibo, Liu, Tianming, Simone II, Charles B., Lee, Nancy Y., Frank, Steven E., Ma, Daniel J., Patel, Samir H., Liu, Wei
Proton therapy offers significant advantages due to its unique physical and biological properties, particularly the Bragg peak, enabling precise dose delivery to tumors while sparing healthy tissues. However, the clinical implementation is challenged
Externí odkaz:
http://arxiv.org/abs/2410.04358
Autor:
Zhong, Tianyang, Liu, Zhengliang, Pan, Yi, Zhang, Yutong, Zhou, Yifan, Liang, Shizhe, Wu, Zihao, Lyu, Yanjun, Shu, Peng, Yu, Xiaowei, Cao, Chao, Jiang, Hanqi, Chen, Hanxu, Li, Yiwei, Chen, Junhao, Hu, Huawen, Liu, Yihen, Zhao, Huaqin, Xu, Shaochen, Dai, Haixing, Zhao, Lin, Zhang, Ruidong, Zhao, Wei, Yang, Zhenyuan, Chen, Jingyuan, Wang, Peilong, Ruan, Wei, Wang, Hui, Zhao, Huan, Zhang, Jing, Ren, Yiming, Qin, Shihuan, Chen, Tong, Li, Jiaxi, Zidan, Arif Hassan, Jahin, Afrar, Chen, Minheng, Xia, Sichen, Holmes, Jason, Zhuang, Yan, Wang, Jiaqi, Xu, Bochen, Xia, Weiran, Yu, Jichao, Tang, Kaibo, Yang, Yaxuan, Sun, Bolun, Yang, Tao, Lu, Guoyu, Wang, Xianqiao, Chai, Lilong, Li, He, Lu, Jin, Sun, Lichao, Zhang, Xin, Ge, Bao, Hu, Xintao, Zhang, Lian, Zhou, Hua, Zhang, Lu, Zhang, Shu, Liu, Ninghao, Jiang, Bei, Kong, Linglong, Xiang, Zhen, Ren, Yudan, Liu, Jun, Jiang, Xi, Bao, Yu, Zhang, Wei, Li, Xiang, Li, Gang, Liu, Wei, Shen, Dinggang, Sikora, Andrea, Zhai, Xiaoming, Zhu, Dajiang, Liu, Tianming
This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, including computer science, mathematics, natural sciences, medicine, linguist
Externí odkaz:
http://arxiv.org/abs/2409.18486
With the rapid advancement of large language models, there has been a growing interest in their capabilities in mathematical reasoning. However, existing research has primarily focused on text-based algebra problems, neglecting the study of geometry
Externí odkaz:
http://arxiv.org/abs/2409.09039
Autor:
Wu, Tao, Li, Mengze, Chen, Jingyuan, Ji, Wei, Lin, Wang, Gao, Jinyang, Kuang, Kun, Zhao, Zhou, Wu, Fei
Research on Multi-modal Large Language Models (MLLMs) towards the multi-image cross-modal instruction has received increasing attention and made significant progress, particularly in scenarios involving closely resembling images (e.g., change caption
Externí odkaz:
http://arxiv.org/abs/2408.12867
Autor:
Lv, Zheqi, He, Shaoxuan, Zhan, Tianyu, Zhang, Shengyu, Zhang, Wenqiao, Chen, Jingyuan, Zhao, Zhou, Wu, Fei
Dynamic sequential recommendation (DSR) can generate model parameters based on user behavior to improve the personalization of sequential recommendation under various user preferences. However, it faces the challenges of large parameter search space
Externí odkaz:
http://arxiv.org/abs/2408.00123
Large Language Models (LLMs) have demonstrated great potential for assisting developers in their daily development. However, most research focuses on generating correct code, how to use LLMs to generate personalized code has seldom been investigated.
Externí odkaz:
http://arxiv.org/abs/2406.17255
Autor:
Zeng, Binglin, Lai, Jialin, Chen, Jingyuan, Huang, Yaxin, Wu, Changjin, Huang, Chao, Guo, Qingxin, Li, Xiaofeng, Li, Shuai, Tang, Jinyao
Self-propelled micromotors can efficiently convert ambient energy into mechanical motion, which is of great interest for its potential biomedical applications in delivering therapeutics noninvasively. However, navigating these micromotors through bio
Externí odkaz:
http://arxiv.org/abs/2406.12522
Due to the continuously improving capabilities of mobile edges, recommender systems start to deploy models on edges to alleviate network congestion caused by frequent mobile requests. Several studies have leveraged the proximity of edge-side to real-
Externí odkaz:
http://arxiv.org/abs/2406.08804