Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large Language Models are revolutionizing Web, mobile, and Web of Things systems, driving intelligent and scalable solutions. However, as Retrieval-Augmented Generation (RAG) systems expand, they encounter significant challenges related to scalability, including increased delay and […]
Kavli Affiliate: Feng Wang | First 5 Authors: Jiaxing Li, Chi Xu, Lianchen Jia, Feng Wang, Cong Zhang | Summary: Large language models (LLMs) have demonstrated impressive capabilities in language tasks, but they require high computing power and rely on static knowledge. To overcome these limitations, Retrieval-Augmented Generation (RAG) incorporates up-to-date external information into LLMs […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Juntai Cao, Chenyu You, , | Summary: Transformers, the backbone of modern large language models (LLMs), face inherent architectural limitations that impede their reasoning capabilities. Unlike recurrent networks, Transformers lack recurrent connections, confining them to constant-depth computation. This restriction places them in the complexity class […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Isaac M. Craig, B. Junsuh Kim, David T. Limmer, D. Kwabena Bediako, Sinéad M. Griffin | Summary: Van der Waals hosts intercalated with transition metal (TM) ions exhibit a range of magnetic properties strongly influenced by the structural order of the intercalants. However, predictive computational models […]
Kavli Affiliate: Feng Wang | First 5 Authors: Zhengyang Lu, Tianhao Guo, Feng Wang, , | Summary: Classical Chinese poetry and painting represent the epitome of artistic expression, but the abstract and symbolic nature of their relationship poses a significant challenge for computational translation. Most existing methods rely on large-scale paired datasets, which are scarce […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen | Summary: The advent of large language models (LLMs) has revolutionized the field of text generation, producing outputs that closely mimic human-like writing. Although academic and industrial institutions have developed detectors to prevent the malicious usage of […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yu Han, Xiaofeng Liu, Xiang Zhang, Cheng Ding, | Summary: The electrocardiogram (ECG) is ubiquitous across various healthcare domains, such as cardiac arrhythmia detection and sleep monitoring, making ECG analysis critically essential. Traditional deep learning models for ECG are task-specific, with a narrow scope of functionality and […]
Kavli Affiliate: Darrell G. Schlom | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the […]
Kavli Affiliate: Jin Suntivich | First 5 Authors: Lei Zhang, Jan Kloppenburg, Chia-Yi Lin, Luka Mitrovic, Simon Gelin | Summary: Understanding the dehydrogenation of transition metal oxide surfaces under electrochemical potential is critical to the control of important chemical processes such as the oxygen evolution reaction (OER). Using first principles computations, we model the thermodynamic […]