Zobrazeno 1 - 10
of 19 599
pro vyhledávání: '"P. Rex"'
Hyperbolic neural networks have emerged as a powerful tool for modeling hierarchical data structures prevalent in real-world datasets. Notably, residual connections, which facilitate the direct flow of information across layers, have been instrumenta
Externí odkaz:
http://arxiv.org/abs/2412.14695
Modern recommendation systems often create information cocoons, limiting users' exposure to diverse content. To enhance user experience, a crucial challenge is developing systems that can balance content exploration and exploitation, allowing users t
Externí odkaz:
http://arxiv.org/abs/2411.13865
Autor:
Jin, Yifei, Maatouk, Ali, Girdzijauskas, Sarunas, Xu, Shugong, Tassiulas, Leandros, Ying, Rex
Wireless ray-tracing (RT) is emerging as a key tool for three-dimensional (3D) wireless channel modeling, driven by advances in graphical rendering. Current approaches struggle to accurately model beyond 5G (B5G) network signaling, which often operat
Externí odkaz:
http://arxiv.org/abs/2411.08767
Autor:
Hua, Chenqing, Lu, Jiarui, Liu, Yong, Zhang, Odin, Tang, Jian, Ying, Rex, Jin, Wengong, Wolf, Guy, Precup, Doina, Zheng, Shuangjia
The introduction of models like RFDiffusionAA, AlphaFold3, AlphaProteo, and Chai1 has revolutionized protein structure modeling and interaction prediction, primarily from a binding perspective, focusing on creating ideal lock-and-key models. However,
Externí odkaz:
http://arxiv.org/abs/2411.16694
As the demand for processing extended textual data grows, the ability to handle long-range dependencies and maintain computational efficiency is more critical than ever. One of the key issues for long-sequence modeling using attention-based model is
Externí odkaz:
http://arxiv.org/abs/2410.20926
Autor:
Han, Simeng, Yu, Aaron, Shen, Rui, Qi, Zhenting, Riddell, Martin, Zhou, Wenfei, Qiao, Yujie, Zhao, Yilun, Yavuz, Semih, Liu, Ye, Joty, Shafiq, Zhou, Yingbo, Xiong, Caiming, Radev, Dragomir, Ying, Rex, Cohan, Arman
Existing methods on understanding the capabilities of LLMs in logical reasoning rely on binary entailment classification or synthetically derived rationales, which are not sufficient for proper investigation of model's capabilities. We present P-FOLI
Externí odkaz:
http://arxiv.org/abs/2410.09207
Large language models (LLMs) have demonstrated remarkable performance on various tasks. However, it remains an open question whether the default Euclidean space is the most suitable choice for embedding tokens in LLMs. In this study, we first investi
Externí odkaz:
http://arxiv.org/abs/2410.04010
The emergence of large language models (LLMs) has significantly impacted various fields, from natural language processing to sectors like medicine and finance. However, despite their rapid proliferation, the applications of LLMs in telecommunications
Externí odkaz:
http://arxiv.org/abs/2409.05314
Autor:
Zhang, Jiasheng, Chen, Jialin, Maatouk, Ali, Bui, Ngoc, Xie, Qianqian, Tassiulas, Leandros, Shao, Jie, Xu, Hua, Ying, Rex
With the advent of large language models (LLMs), managing scientific literature via LLMs has become a promising direction of research. However, existing approaches often overlook the rich structural and semantic relevance among scientific literature,
Externí odkaz:
http://arxiv.org/abs/2409.12177
The maritime industry is undergoing a significant digital transformation (DT) to enhance efficiency and sustainability. This focused review investigates the current state of literature on technostress and resistance to change among seafarers as they
Externí odkaz:
http://arxiv.org/abs/2408.17408