Zobrazeno 1 - 10
of 53 520
pro vyhledávání: '"An Yuchen"'
Autor:
Fan, Yuchen, Zhong, Xin, Zhou, Heng, Zhang, Yuchen, Liang, Mingyu, Xie, Chengxing, Hua, Ermo, Ding, Ning, Zhou, Bowen
Long-Form Question Answering (LFQA) refers to generating in-depth, paragraph-level responses to open-ended questions. Although lots of LFQA methods are developed, evaluating LFQA effectively and efficiently remains challenging due to its high complex
Externí odkaz:
http://arxiv.org/abs/2410.01945
Publikováno v:
Yankuang ceshi, Vol 41, Iss 3, Pp 341-352 (2022)
BACKGROUND Soil cadmium pollution has become one of the main factors that endanger human health. Rapid and effective remediation of Cd pollution soil requires a fundamental understanding of Cd sources and geochemical cycling. With the advancement of
Externí odkaz:
https://doaj.org/article/0769f97cc9df4f4dba82b6cabd1bd6d7
Autor:
Wang, Yuchen, Cianci, Cameron, Avdic, Irma, Dutta, Rishab, Warren, Samuel, Allen, Brandon, Vu, Nam P., Santos, Lea F., Batista, Victor S., Mazziotti, David A.
Hybrid quantum-classical computing algorithms offer significant potential for accelerating the calculation of the electronic structure of strongly correlated molecules. In this work, we present the first quantum simulation of conical intersections (C
Externí odkaz:
http://arxiv.org/abs/2410.18910
Digital network twins (DNTs), by representing a physical network using a virtual model, offer significant benefits such as streamlined network development, enhanced productivity, and cost reduction for next-generation (nextG) communication infrastruc
Externí odkaz:
http://arxiv.org/abs/2410.18002
Autor:
Hu, Yue, Cai, Yuzhu, Du, Yaxin, Zhu, Xinyu, Liu, Xiangrui, Yu, Zijie, Hou, Yuchen, Tang, Shuo, Chen, Siheng
LLM-driven multi-agent collaboration (MAC) systems have demonstrated impressive capabilities in automatic software development at the function level. However, their heavy reliance on human design limits their adaptability to the diverse demands of re
Externí odkaz:
http://arxiv.org/abs/2410.16946
Cooperative path planning, a crucial aspect of multi-agent systems research, serves a variety of sectors, including military, agriculture, and industry. Many existing algorithms, however, come with certain limitations, such as simplified kinematic mo
Externí odkaz:
http://arxiv.org/abs/2410.15710
Autor:
Chen, Yuchen, Sun, Weisong, Fang, Chunrong, Chen, Zhenpeng, Ge, Yifei, Han, Tingxu, Zhang, Quanjun, Liu, Yang, Chen, Zhenyu, Xu, Baowen
Language models for code (CodeLMs) have emerged as powerful tools for code-related tasks, outperforming traditional methods and standard machine learning approaches. However, these models are susceptible to security vulnerabilities, drawing increasin
Externí odkaz:
http://arxiv.org/abs/2410.15631
Autor:
Cao, Yuchen, Dai, Jianglai, Wang, Zhongyan, Zhang, Yeyubei, Shen, Xiaorui, Liu, Yunchong, Tian, Yexin
The global rise in depression necessitates innovative detection methods for early intervention. Social media provides a unique opportunity to identify depression through user-generated posts. This systematic review evaluates machine learning (ML) mod
Externí odkaz:
http://arxiv.org/abs/2410.16204
Autor:
Wang, Yuchen, Wang, Ruihuan
Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide sta
Externí odkaz:
http://arxiv.org/abs/2410.15907
The advancements in cloud-based Large Languages Models (LLMs) have revolutionized AI-assisted programming. However, their integration into certain local development environments like ones within the Apple software ecosystem (e.g., iOS apps, macOS) re
Externí odkaz:
http://arxiv.org/abs/2410.15285