Zobrazeno 1 - 10
of 50 673
pro vyhledávání: '"LIU, Hui"'
Autor:
Zeng, Shenglai, Zhang, Jiankun, Li, Bingheng, Lin, Yuping, Zheng, Tianqi, Everaert, Dante, Lu, Hanqing, Liu, Hui, Xing, Yue, Cheng, Monica Xiao, Tang, Jiliang
Retrieval-Augmented Generation (RAG) systems have shown promise in enhancing the performance of Large Language Models (LLMs). However, these systems face challenges in effectively integrating external knowledge with the LLM's internal knowledge, ofte
Externí odkaz:
http://arxiv.org/abs/2411.14572
Autor:
Chen, Kecheng, Zhang, Pingping, Liu, Hui, Liu, Jie, Liu, Yibing, Huang, Jiaxin, Wang, Shiqi, Yan, Hong, Li, Haoliang
We have recently witnessed that ``Intelligence" and `` Compression" are the two sides of the same coin, where the language large model (LLM) with unprecedented intelligence is a general-purpose lossless compressor for various data modalities. This at
Externí odkaz:
http://arxiv.org/abs/2411.12448
We have recently claimed that the domain wall in the 3+1 dimensional $\phi^4$ double-well model can be constructed as a squeezed, coherent state and that at one loop it has a finite tension given general, but unspecified, renormalization conditions.
Externí odkaz:
http://arxiv.org/abs/2411.10099
Autor:
Li, Juanhui, Nag, Sreyashi, Liu, Hui, Tang, Xianfeng, Sarwar, Sheikh, Cui, Limeng, Gu, Hansu, Wang, Suhang, He, Qi, Tang, Jiliang
In real-world NLP applications, Large Language Models (LLMs) offer promising solutions due to their extensive training on vast datasets. However, the large size and high computation demands of LLMs limit their practicality in many applications, espec
Externí odkaz:
http://arxiv.org/abs/2411.08028
Improving hydrocarbon production with hydraulic fracturing from unconventional reservoirs requires investigating transport phenomena at the single fracture level. In this study, we simulated geomechanical deformation, fluid flow, and reactive transpo
Externí odkaz:
http://arxiv.org/abs/2411.07992
In 1+1 dimensions, it is well known that the quantum states corresponding to solitons are well described by coherent states. In his 1975 Erice lectures, Coleman observed that this construction does not extend to higher dimensions, as the coherent sta
Externí odkaz:
http://arxiv.org/abs/2411.05406
Recent advances in large language models (LLMs), make it potentially feasible to automatically refactor source code with LLMs. However, it remains unclear how well LLMs perform compared to human experts in conducting refactorings automatically and ac
Externí odkaz:
http://arxiv.org/abs/2411.04444
Autor:
Yin, Shi, Tan, Hongqi, Chong, Li Ming, Liu, Haofeng, Liu, Hui, Lee, Kang Hao, Tuan, Jeffrey Kit Loong, Ho, Dean, Jin, Yueming
Background: Cone-beam computed tomography (CBCT) plays a crucial role in image-guided radiotherapy, but artifacts and noise make them unsuitable for accurate dose calculation. Artificial intelligence methods have shown promise in enhancing CBCT quali
Externí odkaz:
http://arxiv.org/abs/2411.01575
Source code identifiers often contain abbreviations. Such abbreviations may reduce the readability of the source code, which in turn hinders the maintenance of the software applications. To this end, accurate and automated approaches to expanding abb
Externí odkaz:
http://arxiv.org/abs/2410.23866
In this paper, we make the first attempt to align diffusion models for image inpainting with human aesthetic standards via a reinforcement learning framework, significantly improving the quality and visual appeal of inpainted images. Specifically, in
Externí odkaz:
http://arxiv.org/abs/2410.21966