Zobrazeno 1 - 10
of 36 835
pro vyhledávání: '"Lin, Wei‐An"'
Large language models (LLMs), endowed with exceptional reasoning capabilities, are adept at discerning profound user interests from historical behaviors, thereby presenting a promising avenue for the advancement of recommendation systems. However, a
Externí odkaz:
http://arxiv.org/abs/2412.13771
Enabling Large Language Models (LLMs) to understand the 3D physical world is an emerging yet challenging research direction. Current strategies for processing point clouds typically downsample the scene or divide it into smaller parts for separate an
Externí odkaz:
http://arxiv.org/abs/2411.19774
Tuning effective step sizes is crucial for the stability and efficiency of optimization algorithms. While adaptive coordinate-wise step sizes tuning methods have been explored in first-order methods, second-order methods still lack efficient techniqu
Externí odkaz:
http://arxiv.org/abs/2412.00059
Autor:
Doveh, Sivan, Shabtay, Nimrod, Lin, Wei, Schwartz, Eli, Kuehne, Hilde, Giryes, Raja, Feris, Rogerio, Karlinsky, Leonid, Glass, James, Arbelle, Assaf, Ullman, Shimon, Mirza, M. Jehanzeb
Vision-Language Models (VLMs) have shown remarkable capabilities across diverse visual tasks, including image recognition, video understanding, and Visual Question Answering (VQA) when explicitly trained for these tasks. Despite these advances, we fi
Externí odkaz:
http://arxiv.org/abs/2411.13317
Complementary-label learning (CLL) is a weakly supervised learning paradigm for multiclass classification, where only complementary labels -- indicating classes an instance does not belong to -- are provided to the learning algorithm. Despite CLL's i
Externí odkaz:
http://arxiv.org/abs/2411.12276
Autor:
Zhou, Jie, Zhang, Qiming, Gong, Jiarui, Lu, Yi, Liu, Yang, Abbasi, Haris, Qiu, Haining, Kim, Jisoo, Lin, Wei, Kim, Donghyeok, Li, Yiran, Ng, Tien Khee, Jang, Hokyung, Liu, Dong, Wang, Haiyan, Ooi, Boon S., Ma, Zhenqiang
Semiconductor heterojunctions are foundational to many advanced electronic and optoelectronic devices. However, achieving high-quality, lattice-mismatched interfaces remains challenging, limiting both scalability and device performance. Semiconductor
Externí odkaz:
http://arxiv.org/abs/2411.09713
Autor:
Wang, Haidi, Feng, Qingqing, Li, Shuo, Lin, Wei, Zhu, Weiduo, Chen, Zhao, Li, Zhongjun, Liu, Xiaofeng, Li, Xingxing
Ferrimagnetic semiconductors, integrated with net magnetization, antiferromagnetic coupling and semi-conductivity, have constructed an ideal platform for spintronics. For practical applications, achieving high N$\acute{e}$el temperatures ($T_{\mathrm
Externí odkaz:
http://arxiv.org/abs/2411.04481
Complex systems in physics, chemistry, and biology that evolve over time with inherent randomness are typically described by stochastic differential equations (SDEs). A fundamental challenge in science and engineering is to determine the governing eq
Externí odkaz:
http://arxiv.org/abs/2410.16694
Autor:
Meng, Chunlei, Yang, Jiacheng, Lin, Wei, Liu, Bowen, Zhang, Hongda, ouyang, chun, Gan, Zhongxue
Convolutional neural networks (CNNs) and vision transformers (ViTs) have become essential in computer vision for local and global feature extraction. However, aggregating these architectures in existing methods often results in inefficiencies. To add
Externí odkaz:
http://arxiv.org/abs/2410.11428
Autor:
Shabtay, Nimrod, Polo, Felipe Maia, Doveh, Sivan, Lin, Wei, Mirza, M. Jehanzeb, Chosen, Leshem, Yurochkin, Mikhail, Sun, Yuekai, Arbelle, Assaf, Karlinsky, Leonid, Giryes, Raja
The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required world knowledge to perform effectively on multiple downstream tasks. However, one downside of scrapin
Externí odkaz:
http://arxiv.org/abs/2410.10783