Zobrazeno 1 - 10
of 8 390
pro vyhledávání: '"kang, Yu"'
Generating Chain-of-Thought (CoT) before deriving the answer can effectively improve the reasoning capabilities of large language models (LLMs) and significantly improve the accuracy of the generated answer. However, in most cases, the length of the
Externí odkaz:
http://arxiv.org/abs/2412.11664
The development of Large Language Models (LLMs) has created transformative opportunities for the financial industry, especially in the area of financial trading. However, how to integrate LLMs with trading systems has become a challenge. To address t
Externí odkaz:
http://arxiv.org/abs/2412.04856
Autor:
Zhang, Chaoyun, He, Shilin, Qian, Jiaxu, Li, Bowen, Li, Liqun, Qin, Si, Kang, Yu, Ma, Minghua, Liu, Guyue, Lin, Qingwei, Rajmohan, Saravan, Zhang, Dongmei, Zhang, Qi
GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal models, has ushered in a new era of GUI automation. The
Externí odkaz:
http://arxiv.org/abs/2411.18279
Modeling feature interactions plays a crucial role in accurately predicting click-through rates (CTR) in advertising systems. To capture the intricate patterns of interaction, many existing models employ matrix-factorization techniques to represent f
Externí odkaz:
http://arxiv.org/abs/2411.12441
Autor:
Sun, Pei-Fa, Song, Yujae, Gao, Kang-Yu, Wang, Yu-Kai, Zhou, Changjun, Jeon, Sang-Woon, Zhang, Jun
UAVs are increasingly becoming vital tools in various wireless communication applications including internet of things (IoT) and sensor networks, thanks to their rapid and agile non-terrestrial mobility. Despite recent research, planning three-dimens
Externí odkaz:
http://arxiv.org/abs/2410.05759
Zero-shot anomaly detection (ZSAD) recognizes and localizes anomalies in previously unseen objects by establishing feature mapping between textual prompts and inspection images, demonstrating excellent research value in flexible industrial manufactur
Externí odkaz:
http://arxiv.org/abs/2409.20146
Autor:
Zhang, Jintu, Bonati, Luigi, Trizio, Enrico, Zhang, Odin, Kang, Yu, Hou, TingJun, Parrinello, Michele
Enhanced sampling simulations make the computational study of rare events feasible. A large family of such methods crucially depends on the definition of some collective variables (CVs) that could provide a low-dimensional representation of the relev
Externí odkaz:
http://arxiv.org/abs/2409.07339
This paper presents an approach to improve text embedding models through contrastive fine-tuning on small datasets augmented with expert scores. It focuses on enhancing semantic textual similarity tasks and addressing text retrieval problems. The pro
Externí odkaz:
http://arxiv.org/abs/2408.11868
First-person hand-object interaction anticipation aims to predict the interaction process over a forthcoming period based on current scenes and prompts. This capability is crucial for embodied intelligence and human-robot collaboration. The complete
Externí odkaz:
http://arxiv.org/abs/2407.21510
In multivariate time-series forecasting (MTSF), extracting the temporal correlations of the input sequences is crucial. While popular Transformer-based predictive models can perform well, their quadratic computational complexity results in inefficien
Externí odkaz:
http://arxiv.org/abs/2407.14814