Zobrazeno 1 - 10
of 974
pro vyhledávání: '"Tang Nan"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-21 (2024)
Abstract Accurate carbon price forecasts are crucial for policymakers and enterprises to understand the dynamics of carbon price fluctuations, enabling them to formulate informed policies and investment strategies. However, due to the non-linear and
Externí odkaz:
https://doaj.org/article/0c22c4eef71f48959947b577afc685d9
Publikováno v:
Zhongguo aizheng zazhi, Vol 34, Iss 6, Pp 548-560 (2024)
Background and purpose: Colorectal carcinoma (CRC) is a common malignant tumor with incidence and mortality rates second only to gastric cancer and esophageal cancer among digestive system malignancies. Increasing evidence suggests that immune cells
Externí odkaz:
https://doaj.org/article/b03e5a47572f4b788deb22dc56f2ab9a
Autor:
Tang, Nan, Gen, Masaki, Rotter, Martin, Man, Huiyuan, Matsuhira, Kazuyuki, Matsuo, Akira, Kindo, Koichi, Ikeda, Akihiko, Matsuda, Yasuhiro H., Gegenwart, Philipp, Nakatsuji, Satoru, Kohama, Yoshimitsu
We present a comprehensive study of the magnetoelastic properties of the Ising pyrochlore oxide Ho$_{2}$Ti$_{2}$O$_{7}$, known as spin ice, by means of high-field magnetostriction measurements and numerical calculations. When a magnetic field is appl
Externí odkaz:
http://arxiv.org/abs/2409.03673
Autor:
Liu, Xinyu, Shen, Shuyu, Li, Boyan, Ma, Peixian, Jiang, Runzhi, Zhang, Yuxin, Fan, Ju, Li, Guoliang, Tang, Nan, Luo, Yuyu
Translating users' natural language queries (NL) into SQL queries (i.e., NL2SQL) can significantly reduce barriers to accessing relational databases and support various commercial applications. The performance of NL2SQL has been greatly enhanced with
Externí odkaz:
http://arxiv.org/abs/2408.05109
Autor:
Sun, Yushi, Xin, Hao, Sun, Kai, Xu, Yifan Ethan, Yang, Xiao, Dong, Xin Luna, Tang, Nan, Chen, Lei
Large language models (LLMs) demonstrate an impressive ability to internalize knowledge and answer natural language questions. Although previous studies validate that LLMs perform well on general knowledge while presenting poor performance on long-ta
Externí odkaz:
http://arxiv.org/abs/2406.11131
Publikováno v:
Proceedings of the VLDB Endowment, vol. 17, no. 11, 2024, pp. 3178-3191
The growing importance of data visualization in business intelligence and data science emphasizes the need for tools that can efficiently generate meaningful visualizations from large datasets. Existing tools fall into two main categories: human-powe
Externí odkaz:
http://arxiv.org/abs/2406.11033
Large Language Models (LLMs) have demonstrated impressive capabilities across a range of scientific tasks including mathematics, physics, and chemistry. Despite their successes, the effectiveness of LLMs in handling complex statistical tasks remains
Externí odkaz:
http://arxiv.org/abs/2406.07815
Autor:
Yang, Xiao, Sun, Kai, Xin, Hao, Sun, Yushi, Bhalla, Nikita, Chen, Xiangsen, Choudhary, Sajal, Gui, Rongze Daniel, Jiang, Ziran Will, Jiang, Ziyu, Kong, Lingkun, Moran, Brian, Wang, Jiaqi, Xu, Yifan Ethan, Yan, An, Yang, Chenyu, Yuan, Eting, Zha, Hanwen, Tang, Nan, Chen, Lei, Scheffer, Nicolas, Liu, Yue, Shah, Nirav, Wanga, Rakesh, Kumar, Anuj, Yih, Wen-tau, Dong, Xin Luna
Retrieval-Augmented Generation (RAG) has recently emerged as a promising solution to alleviate Large Language Model (LLM)'s deficiency in lack of knowledge. Existing RAG datasets, however, do not adequately represent the diverse and dynamic nature of
Externí odkaz:
http://arxiv.org/abs/2406.04744
Translating users' natural language questions into SQL queries (i.e., NL2SQL) significantly lowers the barriers to accessing relational databases. The emergence of Large Language Models has introduced a novel paradigm in NL2SQL tasks, enhancing capab
Externí odkaz:
http://arxiv.org/abs/2406.01265
Large language models (LLMs) have catalyzed a paradigm shift in natural language processing, yet their limited controllability poses a significant challenge for downstream applications. We aim to address this by drawing inspiration from the neural me
Externí odkaz:
http://arxiv.org/abs/2405.17039