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23rd China National Conference on Computational Linguistics, CCL 2024

作者： Liu, Xiao Li, Ying Yu, Zhengtao Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Yunnan Key Laboratory of Artificial Intelligence Kunming China

ISBN: (纸本)9789819783663

Pre-trained language model-based methods for Chinese Grammatical Error Correction (CGEC) are categorized into Seq2Seq and Seq2Edit types. However, both Seq2Seq and Seq2Edit models depend on high-quality training data significantly. Considering the strong generation and inference ability of large language models (LLMs), we propose a large language model-guided optimization training method to exploit LLMs to extract error knowledge to optimize the traditional CGEC model training process. On the one hand, we use error types and confusion sets as extra knowledge to guide LLMs to generate diverse pseudo data, thus extending the error distribution of our training data. On the other hand, LLMs are utilized to infer the predicted results from our CGEC models and obtain the re-training data, thus iteratively optimizing our pre-trained CGEC models. Experiments on two benchmark datasets show that our LLMs-guided optimization method with small-scale training data can achieve comparable results with baseline models with large-scale training data. Detailed comparison experiments demonstrate that both the early deviser pseudo data and the later re-training data are extremely useful for traditional CGEC model optimization training, and can benefit from each other. We will release our code and prompts at https://***/SakuraAcedia/llm-cgec-got to facilitate future work. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Error correction

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Density-matrix-formalism based scheme for polarization mode dispersion monitoring and compensation in optical fiber communication systems

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Optoelectronics Letters 2023年第12期19卷 739-743页

作者： DU Qiuping ZHANG Xia GUO Yao YANG Zhenshan ZHANG Xiaoguang School of Physics Science and Information Engineering Shandong Provincial Key Laboratory of Optical Communications Science and TechnologyLiaocheng UniversityLiaocheng 252000China State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China

We propose a density-matrix-formalism based scheme to study polarization mode dispersion(PMD)monitoring and compensation in optical fiber communication *** to traditional monitoring and compensation schemes based on the PMD vector in the Stokes space,the scheme we proposed requires no auxiliary matrices and can be handily extended to any higher-dimensional modal space,which is advantageous in mode-division multiplexing(MDM)systems.A 28 GBaud polarization division multiplexing quadrature phase-shift keying(PDM-QPSK)coherent simulation system is built to demonstrate that our scheme can implement the monitoring and compensation of 170 ps large differential-group-delay(DGD)that far exceeds the typical DGDs in practical optical communication *** results verify the effectiveness of the density-matrix-formalism based scheme in PMD monitoring and compensation,thus pave the way for further applications of the scheme in more general MDM optical communication systems.

关键词： polarization communication fiber

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High-definition colorful perovskite narrowband photodetector array enabled by laser-direct-writing

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Nano Research 2022年第6期15卷 5476-5482页

作者： Xiaobao Xu Yuhang Dong Yuanzhou Zhang Zeyao Han Jiaxin Liu Dejian Yu Yi Wei Yousheng Zou Bo Huang Jun Chen Haibo Zeng Key Laboratory of Advanced Display Materials and Devices Ministry of Industry and Information TechnologyInstitute of Optoelectronics&NanomaterialsCollege of Material Science and EngineeringNanjing University of Science and TechnologyNanjing 210094China

Narrowband photodetectors as specific spectral sensing pixels have drawn intense attention in multispectral detection due to their distinct characteristic of filter-free spectrum discrimination,in which the emerging halide lead perovskites witness a booming development in their performance and wavelength-selectivity from blue to near-infrared ***,the challenge in integrating perovskite narrowband photodetectors on one chip imposes an impediment on practical *** this work,the combination of laser-direct-writing and ion exchange is proposed as an efficient way to fabricate high-definition colorful sensing array with perovskite narrowband photodetector unit as *** laser irradiation,the photolysis of halocarbon solvent(CHCl_(3),CH_(3)CH_(2)I,etc)releases the halide ions,which brings the ion exchange and gives rise to slow-varying bandgap in single perovskite photoactive *** ion exchange can be controlled via laser irradiation time and focus point,thus enabling precisely engineerable *** optimizing the process,it is successfully applied to develop patterned perovskite narrow blue and green photodetectors array with a high-definition of~53 *** believe this result will make a great step forward to integrate multifunctional perovskite devices on one chip,which will pave the way for perovskite optoelectronic device to the commercial application.

关键词： photodetector narrowband imaging array laser-direct-writing perovskite

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Low-carbon Economic Dispatch of Integrated Energy systems Considering Extended Carbon Emission Flow

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Journal of Modern Power systems and Clean Energy 2024年第6期12卷 1798-1809页

作者： Yumin Zhang Pengkai Sun Xingquan Ji Fushuan Wen Ming Yang Pingfeng Ye Shandong University of Science and Technology Qingdao 266590China Hainan Institute Zhejiang UniversitySanya 572000China School of Electrical Engineering Zhejiang UniversityHangzhou 310027China Key Laboratory of Power System Intelligent Dispatch and Control Shandong UniversityJinan 250061China

Carbon capture and storage(CCS)systems can provide sufficient carbon raw materials for power-to-gas(P2G)systems to reduce the carbon emission of traditional coal-fired units,which helps to achieve low-carbon dispatch of integrated energy systems(IESs).In this study,an extended carbon-emis-sion flow model that integrates CCS-P2G coordinated operation and low-carbon characteristics of an energy storage system(ESS)is *** the energy supply side,the coupling rela-tionship between CCS and P2G systems is established to realize the low-carbon economic operation of P2G *** the en-ergy storage side,the concept of"state of carbon"is introduced to describe the carbon emission characteristics of the ESS to ex-ploit the potential of coordinated low-carbon dispatch in terms of both energy production and *** addition,a low-car-bon economic dispatch model that considers multiple uncertain-ties,including wind power output,electricity price,and load de-mands,is *** solve the model efficiently,a parallel multidimensional approximate dynamic programming algo-rithm is adopted,while the solution efficiency is significantly im-proved over that of stochastic optimization without losing solu-tion accuracy under a multilayer parallel loop nesting *** low-carbon economic dispatch method of IESs is composed of the extended carbon emission flow model,low-car-bon economic dispatch model,and the parallel multidimension-al approximate dynamic programming *** effective-ness of the proposed method is verified on E14-H6-G6 and E57-H12-G12 systems.

关键词： Low-carbon economic dispatch carbon emission flow state of carbon parallel multidimensional approximate dynamic programming integrated energy system(IES)

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A statistical study on the correlation between sporadic Ca+layer and Es in Beijing(40.5°N,116°E)

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Earth and Planetary Physics 2024年第5期8卷 753-761页

作者： YuChang Xun ZhiShan Chen LiFang Du HaoRan Zheng Jing Jiao ZeLong Wang ShaoHua Gong GuoTao Yang College of Physics College of Electronic Information and Optical EngineeringTaiyuan University of TechnologyTaiyuan 030024China State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China School of Science Jiangsu University of Science and TechnologyZhenjiang Jiangsu 212100China School of Physics and Electronics Engineering Hainan Normal UniversityHaikou 571158China

From April 2020 to June 2022,a Ca+lidar with dual-wavelength and narrow-band emitting lasers utilizing all-solid-state technology was employed to conduct observations in Beijing(40.41°N,116.01°E)for a total duration of 1797.79 hours over 280 nights.A total of 286 sporadic Ca+layers were observed,with heights ranging from 88 to 120 km and densities varying from 5.33 to 2200 cm^(-3).We simultaneously observed the ionosonde,located 28 km from the lidar,and found a correlation of 61.89%between the sporadic Ca+layer and the sporadic E *** the sporadic Ca+layer has a downward phase trend,there is a correlation of 76.84%.By excluding the influence of ionosonde sensitivity,we focus only on calcium ions that have a density exceeding 140 cm^(-3),which exhibit a correlation of82.25%.Above 100 km,the correlation significantly increases,reaching approximately 90%.Furthermore,the correlation between the sporadic Ca+layer and the sporadic E layer is particularly noticeable during the summer season,reaching around 90%.This phenomenon can be attributed to the variations in metal ions that occur during different seasons.

关键词： layer lidar exceeding

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Simultaneous segmentation and classification of colon cancer polyp images using a dual branch multi-task learning network

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Mathematical Biosciences and engineering 2024年第2期21卷 2024-2049页

作者： Li, Chenqian Liu, Jun Tang, Jinshan School of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan430065 China Department of Health Administration and Policy College of Public Health George Mason University FairfaxVA22030 United States

Accurate classification and segmentation of polyps are two important tasks in the diagnosis and treatment of colorectal cancers. Existing models perform segmentation and classification separately and do not fully make use of the correlation between the two tasks. Furthermore, polyps exhibit random regions and varying shapes and sizes, and they often share similar boundaries and backgrounds. However, existing models fail to consider these factors and thus are not robust because of their inherent limitations. To address these issues, we developed a multi-task network that performs both segmentation and classification simultaneously and can cope with the aforementioned factors effectively. Our proposed network possesses a dual-branch structure, comprising a transformer branch and a convolutional neural network (CNN) branch. This approach enhances local details within the global representation, improving both local feature awareness and global contextual understanding, thus contributing to the improved preservation of polyp-related information. Additionally, we have designed a feature interaction module (FIM) aimed at bridging the semantic gap between the two branches and facilitating the integration of diverse semantic information from both branches. This integration enables the full capture of global context information and local details related to polyps. To prevent the loss of edge detail information crucial for polyp identification, we have introduced a reverse attention boundary enhancement (RABE) module to gradually enhance edge structures and detailed information within polyp regions. Finally, we conducted extensive experiments on five publicly available datasets to evaluate the performance of our method in both polyp segmentation and classification tasks. The experimental results confirm that our proposed method outperforms other state-of-the-art methods. ©2024 the Author(s), licensee AIMS Press.

关键词： Classification (of information)

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Nanowires mediated growth ofβ-Ga_(2)O_(3)nanobelts for hightemperature(>573 K)solar-blind photodetectors

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Nano Research 2023年第4期16卷 5548-5554页

作者： Xiaobin Zou Dongyu Xie Yong Sun Chengxin Wang State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and EngineeringSun Yat-sen UniversityGuangzhou 510275China State Key Laboratory of Optoelectronic Materials and Technologies and Guangdong Province Key Laboratory of Display Material and Technology School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510275China

β-Ga_(2)O_(3),with ultra-wide bandgap,high absorption coefficient for high-energy ultraviolet(UV)photons,and high structural stability toward harsh-environment,has been receiving persistent attention for deep ultraviolet photodetectors ***,realization of devices with high tolerance toward high temperature faces great challenges due to considerable background signals mainly arising from abundant thermal excited ***,nanowire-mediated high-qualityβ-Ga_(2)O_(3)nanobelts with ultra-thin thickness and length up to several hundred micrometers were achieved via a simple catalyst-free chemical vapor deposition *** resulted microdevice output superior optoelectric figure of merits among numerous reports aboutβ-Ga_(2)O_(3),i.e.,ultra-low dark current(below the detection limit of 10−12 A),high responsivity(1,320 A/W),and high spectral selectivity working under low voltage(~2 V).More importantly,the performance remains robust at elevated temperature higher than 573 *** results indicate a large prospect for low-voltage driven deep ultraviolet photodetectors with good sensitivity and stability at harsh environments.

关键词： β-Ga_(2)O_(3) low-dimensional nanostructures chemical vapor deposition high temperature photodetectors solar-blind photodetectors

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Effect of growth interruption time on the quality of InAs/GaSb type-Ⅱ superlattice grown by molecular beam epitaxy

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Optoelectronics Letters 2023年第3期19卷 155-158页

作者： LIU Zhaojun ZHU Lianqing ZHENG Xiantong LU Lidan ZHANG Dongliang LIU Yuan School of Opto-Electronic Engineering Changchun University of Science and TechnologyChangchun 130022China Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument Beijing Information Science&Technology UniversityBeijing 100192China

We systematically investigate the influence of growth interruption time on the properties of In As/Ga Sb type-II superlattices(T2SLs) epitaxial materials grown by molecular beam epitaxy(MBE). X-ray diffraction(XRD) and atomic force microscope(AFM) are used to characterize the material quality and morphology. The full width at half maximum(FWHM) of the XRD 0th satellite peaks ranges from 32″ to 41″, and the root mean square(RMS) roughness on a 5 μm×5 μm scan area is 0.2 nm. Photoluminescence(PL) test is used to reveal the influence of the growth interruption time on the optical property. Grazing incidence X-ray reflectivity(GIXRR) measurements are performed to analyze the roughness of the interface. The interface roughness(0.24 nm) is optimal when the interruption time is 0.5 s. The crystal quality of T2SLs can be optimized with appropriate interruption time by MBE, which is a guide for the material epitaxy of high performance T2SL infrared detector.

关键词： roughness interrupt beam

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Research on The Architecture of an Intelligent Assistant system for Commanders

Research on The Architecture of an Intelligent Assistant Sys...

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IEEE International Conference on Software engineering and Service sciences (ICSESS)

作者： Xin Jin Yu Wang Wei Wu Xiaodong Li Engineering Laboratory Science and Technology on Information System Nanjing China

Battle commanders in modern war are facing new challenges such as massive information and short time windows. There is an urgent demand of intelligent assistant system to communicate with the commanders and staff officers, think about what they think, answer their questions, offer advises to their decision making, learn their experiences, and significantly improve their performance. Based on capability requirements analysis of such system, its system architecture was proposed, which shares data, knowledge, functions and computing power with the command information system currently in use. An AI framework based technical architecture was proposed, which has five characteristics: natural human-computer interaction, flexible function integration, knowledge system driven, continues ability evolution, and powerful computing support.

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Combinatorial optimization of perovskite-based ferroelectric ceramics for energy storage applications

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Journal of Advanced Ceramics 2024年第7期13卷 877-910页

作者： Suwei Dai Mengyang Li Xiaowen Wu Yunyi Wu Xiang Li Yanan Hao Bingcheng Luo Engineering Research Center of Ministry of Education for Geological Carbon Storage and Low Carbon Utilization of Resources Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid WastesNational Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of Geosciences BeijingBeijing 100083China College of Science China Agricultural UniversityBeijing 100083China Research Center for Comprehensive Energy Technology CTG Science and Technology Research InstituteBeijing 100038China School of Energy and Power Engineering Beihang UniversityBeijing 100191China State Key Laboratory of Information Photonics and Optical Communications&School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China

With the increasing impacts of climate change and resource depletion,dielectric capacitors,with their exceptional stability,fast charging and discharging rates,and ability to operate under more extreme conditions,are emerging as promising high-demand candidates for high-performance energy storage devices,distinguishing them from traditional electrochemical capacitors and ***,due to the shortcomings of various dielectric ceramics(e.g.,paraelectrics(PEs),ferroelectrics(FEs),and antiferroelectrics(AFEs)),their low polarizability,low breakdown strength(BDS),and large hysteresis loss limit their standalone use in the advancement of energy storage ***,synthesizing novel perovskite-based materials that exhibit high energy density,high energy efficiency,and low loss is crucial for achieving superior energy storage *** this review,we outline the recent development of perovskitebased ferroelectric energy storage ceramics from the perspective of combinatorial optimization for tailoring ferroelectric hysteresis loops and comprehensively discuss the properties arising from the different combinations of *** also provide future guidelines in this ***,the combinatorial optimization strategy in this review will open up a practical route toward the application of new high-performance ferroelectric energy storage devices.

关键词： perovskite hysteresis loop relaxor ferroelectric(RFE) paraelectric(PE) antiferroelectric(AFE) energy storage

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