Zobrazeno 31 - 40
of 39 213
pro vyhledávání: '"Chen, Liang"'
Autor:
Chen, Liang, Zhang, Yichi, Ren, Shuhuai, Zhao, Haozhe, Cai, Zefan, Wang, Yuchi, Wang, Peiyi, Meng, Xiangdi, Liu, Tianyu, Chang, Baobao
We present PCA-Bench, a multimodal decision-making benchmark for evaluating the integrated capabilities of Multimodal Large Language Models (MLLMs). Departing from previous benchmarks focusing on simplistic tasks and individual model capability, PCA-
Externí odkaz:
http://arxiv.org/abs/2402.15527
Autor:
Hu, Xin-Ke, Yu, Yu-Wei, Zhang, Jin, Wang, Xiang-Gao, Patra, Kishore C., Brink, Thomas G., Zheng, Wei-Kang, Wang, Qi, Kong, De-Feng, Chen, Liang-Jun, Zhou, Ji-Wang, Cao, Jia-Xin, Lu, Ming-Xuan, Zhou, Zi-Min, Wei, Yi-Ning, Huang, Xin-Bo, Li, Xing-Lin, Lou, Hao, Mao, Ji-Rong, Liang, En-Wei, Filippenko, Alexei V.
Mrk 501 is a prototypical high-synchrotron-peaked blazar (HBL) and serves as one of the primary targets for the {\it Imaging X-ray Polarimetry Explorer} ({\it IXPE}). In this study, we report X-ray polarization measurements of Mrk 501 based on six {\
Externí odkaz:
http://arxiv.org/abs/2402.11949
Autor:
Xie, Yuanzhen, Jin, Xinzhou, Xie, Tao, Lin, MingXiong, Chen, Liang, Yu, Chenyun, Cheng, Lei, Zhuo, ChengXiang, Hu, Bo, Li, Zang
In-context learning of large-language models (LLMs) has achieved remarkable success in the field of natural language processing, while extensive case studies reveal that the single-step chain-of-thought prompting approach faces challenges such as att
Externí odkaz:
http://arxiv.org/abs/2402.10671
We have analyzed the total intensity, spectral index, linear polarization, and RM distributions at pc scale for the quasar 1604+159. The source was observed in 2002 and 2020 with the VLBA. Combining the MOJAVE results, we studied the evolution of the
Externí odkaz:
http://arxiv.org/abs/2401.17132
Treatment-Aware Hyperbolic Representation Learning for Causal Effect Estimation with Social Networks
Estimating the individual treatment effect (ITE) from observational data is a crucial research topic that holds significant value across multiple domains. How to identify hidden confounders poses a key challenge in ITE estimation. Recent studies have
Externí odkaz:
http://arxiv.org/abs/2401.06557
In this work, we introduce SPFormer, a novel Vision Transformer enhanced by superpixel representation. Addressing the limitations of traditional Vision Transformers' fixed-size, non-adaptive patch partitioning, SPFormer employs superpixels that adapt
Externí odkaz:
http://arxiv.org/abs/2401.02931
FinTech platforms facilitated by digital payments are watching growth rapidly, which enable the distribution of mutual funds personalized to individual investors via mobile Apps. As the important intermediation of financial products investment, these
Externí odkaz:
http://arxiv.org/abs/2401.01525
Autor:
Li, Lei, Xie, Zhihui, Li, Mukai, Chen, Shunian, Wang, Peiyi, Chen, Liang, Yang, Yazheng, Wang, Benyou, Kong, Lingpeng
This paper explores preference distillation for large vision language models (LVLMs), improving their ability to generate helpful and faithful responses anchoring the visual context. We first build a vision-language feedback (VLFeedback) dataset util
Externí odkaz:
http://arxiv.org/abs/2312.10665
With the rapid progress in virtual reality (VR) technology, the scope of VR applications has greatly expanded across various domains. However, the superiority of VR training over traditional methods and its impact on learning efficacy are still uncer
Externí odkaz:
http://arxiv.org/abs/2312.10387
Autor:
Zou, Wenbin, Gao, Hongxia, Ye, Tian, Chen, Liang, Yang, Weipeng, Huang, Shasha, Chen, Hongsheng, Chen, Sixiang
Night photography often struggles with challenges like low light and blurring, stemming from dark environments and prolonged exposures. Current methods either disregard priors and directly fitting end-to-end networks, leading to inconsistent illumina
Externí odkaz:
http://arxiv.org/abs/2312.08606