Zobrazeno 1 - 10
of 342
pro vyhledávání: '"Xu, Derong"'
Autor:
Li, Yongjun, Anderson, Kelly, Xu, Derong, Hao, Yue, Ha, Kiman, Hidaka, Yoshiteru, Song, Minghao, Rainer, Robert, Smaluk, Victor, Shaftan, Timur
Shannon entropy, as a chaos indicator, is used for online Poincar\'e map regularization and dynamic aperture optimization in the National Synchrotron Light Source-II (NSLS-II) ring. Although various chaos indicators are widely used in studying nonlin
Externí odkaz:
http://arxiv.org/abs/2408.14333
The Electron-Ion Collider (EIC) will use swap-out injection scheme for the Electron Storage Ring (ESR) to overcome limitations in polarization lifetime. However, the pursuit of highest luminosity with the required 28 nC electron bunches encounters st
Externí odkaz:
http://arxiv.org/abs/2405.08712
The Electron-Ion Collider (EIC) plans to utilize the local crabbing crossing scheme. This paper explores the feasibility of adopting a single crab cavity with adjusted voltage, inspired by the successful global crabbing scheme in KEKB, to restore eff
Externí odkaz:
http://arxiv.org/abs/2405.08676
Beam-beam interactions pose substantial challenges in the design and operation of circular colliders, significantly affecting their performance. In particular, the weak-strong simulation approach is pivotal for investigating single-particle dynamics
Externí odkaz:
http://arxiv.org/abs/2403.03137
Autor:
Xu, Derong, Zhang, Ziheng, Lin, Zhenxi, Wu, Xian, Zhu, Zhihong, Xu, Tong, Zhao, Xiangyu, Zheng, Yefeng, Chen, Enhong
Knowledge graph completion (KGC) is a widely used method to tackle incompleteness in knowledge graphs (KGs) by making predictions for missing links. Description-based KGC leverages pre-trained language models to learn entity and relation representati
Externí odkaz:
http://arxiv.org/abs/2403.01972
Autor:
Xu, Derong, Zhang, Ziheng, Zhu, Zhihong, Lin, Zhenxi, Liu, Qidong, Wu, Xian, Xu, Tong, Wang, Wanyu, Ye, Yuyang, Zhao, Xiangyu, Chen, Enhong, Zheng, Yefeng
Model editing aims to precisely alter the behaviors of large language models (LLMs) in relation to specific knowledge, while leaving unrelated knowledge intact. This approach has proven effective in addressing issues of hallucination and outdated inf
Externí odkaz:
http://arxiv.org/abs/2402.18099
Autor:
Xu, Derong, Chen, Wei, Peng, Wenjun, Zhang, Chao, Xu, Tong, Zhao, Xiangyu, Wu, Xian, Zheng, Yefeng, Wang, Yang, Chen, Enhong
Information extraction (IE) aims to extract structural knowledge (such as entities, relations, and events) from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable capabilities in text understa
Externí odkaz:
http://arxiv.org/abs/2312.17617
Autor:
Peng, Wenjun, Li, Guiyang, Jiang, Yue, Wang, Zilong, Ou, Dan, Zeng, Xiaoyi, Xu, Derong, Xu, Tong, Chen, Enhong
In the realm of e-commerce search, the significance of semantic matching cannot be overstated, as it directly impacts both user experience and company revenue. Along this line, query rewriting, serving as an important technique to bridge the semantic
Externí odkaz:
http://arxiv.org/abs/2311.03758
The recent surge in Large Language Models (LLMs) has garnered significant attention across numerous fields. Fine-tuning is often required to fit general LLMs for a specific domain, like the web-based healthcare system. However, two problems arise dur
Externí odkaz:
http://arxiv.org/abs/2310.18339
With the increasing demand for intelligent services of online video platforms, video character search task has attracted wide attention to support downstream applications like fine-grained retrieval and summarization. However, traditional solutions o
Externí odkaz:
http://arxiv.org/abs/2305.12348