Zobrazeno 1 - 10
of 3 262
pro vyhledávání: '"Zhu, Qin"'
Autor:
Zhu, Qin, Cheng, Qingyuan, Peng, Runyu, Li, Xiaonan, Liu, Tengxiao, Peng, Ru, Qiu, Xipeng, Huang, Xuanjing
The training process of large language models (LLMs) often involves varying degrees of test data contamination. Although current LLMs are achieving increasingly better performance on various benchmarks, their performance in practical applications doe
Externí odkaz:
http://arxiv.org/abs/2406.13990
Autor:
Cheng, Qinyuan, Li, Xiaonan, Li, Shimin, Zhu, Qin, Yin, Zhangyue, Shao, Yunfan, Li, Linyang, Sun, Tianxiang, Yan, Hang, Qiu, Xipeng
In Retrieval-Augmented Generation (RAG), retrieval is not always helpful and applying it to every instruction is sub-optimal. Therefore, determining whether to retrieve is crucial for RAG, which is usually referred to as Active Retrieval. However, ex
Externí odkaz:
http://arxiv.org/abs/2406.12534
Leveraging quantum advantages to enhance machine learning capabilities has become a primary focus of research, particularly for complex tasks such as image similarity detection. To fully exploit the potential of quantum computing, it is essential to
Externí odkaz:
http://arxiv.org/abs/2404.02028
Cells not only can have self-motility by crawling, but also are capable of other types of active motions like periodic contraction or pulsation. In this work, by using the Voronoi cell model, we show how this non-motility activity affects the structu
Externí odkaz:
http://arxiv.org/abs/2402.02981
Background. Joint range of motion (ROM) is an important quantitative measure for physical therapy. Commonly relying on a goniometer, accurate and reliable ROM measurement requires extensive training and practice. This, in turn, imposes a significant
Externí odkaz:
http://arxiv.org/abs/2310.07322
Autor:
Wang, Zhi-Cheng, Shao, Ye-Ting, Lin, Yi-Qiang, Song, Shi-Jie, Li, Bai-Zhuo, Cheng, Er-Jian, Li, Shi-Yan, Zhu, Qin-Qing, Ren, Zhi, Cao, Guang-Han
Publikováno v:
Phys. Rev. B 108, 064503 (2023)
Theoretical studies predicted possible superconductivity in electron-doped chromium pnictides isostructural to their iron counterparts. Here, we report the synthesis and characterization of a new ZrCuSiAs-type Cr-based compound ThCrAsN, as well as it
Externí odkaz:
http://arxiv.org/abs/2308.05267
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 2, p e10117 (2019)
BackgroundMobile health (mHealth)—a method of assisting long-term care in patients with chronic cardiovascular diseases (CVDs)—is gaining popularity in China, mainly owing to the large number of patients and limited clinical resources. Patients o
Externí odkaz:
https://doaj.org/article/f64e4a4c8afc424fb06427d3d4f25773
Publikováno v:
Quantum 8, 1232 (2024)
The Hidden Quantum Markov Model (HQMM) has significant potential for analyzing time-series data and studying stochastic processes in the quantum domain as an upgrading option with potential advantages over classical Markov models. In this paper, we i
Externí odkaz:
http://arxiv.org/abs/2307.08640
Prompt tuning is a parameter-efficient approach to adapting pre-trained language models to downstream tasks. Although prompt tuning has been shown to match the performance of full model tuning when training data is sufficient, it tends to struggle in
Externí odkaz:
http://arxiv.org/abs/2210.07565
Traditional training paradigms for extractive and abstractive summarization systems always only use token-level or sentence-level training objectives. However, the output summary is always evaluated from summary-level which leads to the inconsistency
Externí odkaz:
http://arxiv.org/abs/2209.14569