Zobrazeno 1 - 10
of 2 043
pro vyhledávání: '"Yang Mingming"'
Publikováno v:
Guan'gai paishui xuebao, Vol 43, Iss 8, Pp 73-79 (2024)
【Objective】 Optimizing water distribution in canal-irrigation districts is a prerequisite to improve irrigation water use efficiency. This paper proposes an optimization method to distribute water in two-level canal-irrigation systems. 【Method
Externí odkaz:
https://doaj.org/article/dd128927427c4750ab07d1d458e2ff05
Publikováno v:
Guoji Yanke Zazhi, Vol 24, Iss 3, Pp 397-402 (2024)
The complement system is a protein response system with a precise regulatory mechanism, which has the functions of mediating inflammation, regulating immune response, dissolving cells and clearing immune complexes. Diabetic retinopathy(DR)is a common
Externí odkaz:
https://doaj.org/article/ca9edc91e0014aa4b675f9c1eec78919
With the great advancements in large language models (LLMs), adversarial attacks against LLMs have recently attracted increasing attention. We found that pre-existing adversarial attack methodologies exhibit limited transferability and are notably in
Externí odkaz:
http://arxiv.org/abs/2408.13985
Autor:
Yang, Cheng, Huang, Guoping, Yu, Mo, Zhang, Zhirui, Li, Siheng, Yang, Mingming, Shi, Shuming, Yang, Yujiu, Liu, Lemao
Word-level AutoCompletion(WLAC) is a rewarding yet challenging task in Computer-aided Translation. Existing work addresses this task through a classification model based on a neural network that maps the hidden vector of the input context into its co
Externí odkaz:
http://arxiv.org/abs/2407.20083
Existing LLMs exhibit remarkable performance on various NLP tasks, but still struggle with complex real-world tasks, even equipped with advanced strategies like CoT and ReAct. In this work, we propose the CoAct framework, which transfers the hierarch
Externí odkaz:
http://arxiv.org/abs/2406.13381
It is widely known that hallucination is a critical issue in Simultaneous Machine Translation (SiMT) due to the absence of source-side information. While many efforts have been made to enhance performance for SiMT, few of them attempt to understand a
Externí odkaz:
http://arxiv.org/abs/2406.07239
Autor:
Lin, Wenjun, Hu, Yan, Fu, Huazhu, Yang, Mingming, Chng, Chin-Boon, Kawasaki, Ryo, Chui, Cheekong, Liu, Jiang
Instrument-tissue interaction detection task, which helps understand surgical activities, is vital for constructing computer-assisted surgery systems but with many challenges. Firstly, most models represent instrument-tissue interaction in a coarse-g
Externí odkaz:
http://arxiv.org/abs/2404.00322
Autor:
Ye, Fanghua, Yang, Mingming, Pang, Jianhui, Wang, Longyue, Wong, Derek F., Yilmaz, Emine, Shi, Shuming, Tu, Zhaopeng
The proliferation of open-source Large Language Models (LLMs) from various institutions has highlighted the urgent need for comprehensive evaluation methods. However, current evaluation platforms, such as the widely recognized HuggingFace open LLM le
Externí odkaz:
http://arxiv.org/abs/2401.12794
Simultaneous Machine Translation (SiMT) aims to yield a real-time partial translation with a monotonically growing the source-side context. However, there is a counterintuitive phenomenon about the context usage between training and testing: e.g., th
Externí odkaz:
http://arxiv.org/abs/2311.07066
Autor:
Chen, Xingyu, Liu, Lemao, Huang, Guoping, Zhang, Zhirui, Yang, Mingming, Shi, Shuming, Wang, Rui
Word-Level Auto-Completion (WLAC) plays a crucial role in Computer-Assisted Translation. It aims at providing word-level auto-completion suggestions for human translators. While previous studies have primarily focused on designing complex model archi
Externí odkaz:
http://arxiv.org/abs/2310.14523