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Your search keyword '"Cui, Tingting"' showing total 488 results
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488 results on '"Cui, Tingting"'

1. CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models

Author

Yu, Linhao, Leng, Yongqi, Huang, Yufei, Wu, Shang, Liu, Haixin, Ji, Xinmeng, Zhao, Jiahui, Song, Jinwang, Cui, Tingting, Cheng, Xiaoqing, Liu, Tao, and Xiong, Deyi

Subjects
Computer Science - Computation and Language, Computer Science - Artificial Intelligence
Abstract

What a large language model (LLM) would respond in ethically relevant context? In this paper, we curate a large benchmark CMoralEval for morality evaluation of Chinese LLMs. The data sources of CMoralEval are two-fold: 1) a Chinese TV program discussing Chinese moral norms with stories from the society and 2) a collection of Chinese moral anomies from various newspapers and academic papers on morality. With these sources, we aim to create a moral evaluation dataset characterized by diversity and authenticity. We develop a morality taxonomy and a set of fundamental moral principles that are not only rooted in traditional Chinese culture but also consistent with contemporary societal norms. To facilitate efficient construction and annotation of instances in CMoralEval, we establish a platform with AI-assisted instance generation to streamline the annotation process. These help us curate CMoralEval that encompasses both explicit moral scenarios (14,964 instances) and moral dilemma scenarios (15,424 instances), each with instances from different data sources. We conduct extensive experiments with CMoralEval to examine a variety of Chinese LLMs. Experiment results demonstrate that CMoralEval is a challenging benchmark for Chinese LLMs. The dataset is publicly available at \url{https://github.com/tjunlp-lab/CMoralEval}., Comment: Accepted by ACL 2024 (Findings)

Published
2024

2. OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety

Author

Liu, Chuang, Yu, Linhao, Li, Jiaxuan, Jin, Renren, Huang, Yufei, Shi, Ling, Zhang, Junhui, Ji, Xinmeng, Cui, Tingting, Liu, Tao, Song, Jinwang, Zan, Hongying, Li, Sun, and Xiong, Deyi

Subjects
Computer Science - Computation and Language
Abstract

The rapid development of Chinese large language models (LLMs) poses big challenges for efficient LLM evaluation. While current initiatives have introduced new benchmarks or evaluation platforms for assessing Chinese LLMs, many of these focus primarily on capabilities, usually overlooking potential alignment and safety issues. To address this gap, we introduce OpenEval, an evaluation testbed that benchmarks Chinese LLMs across capability, alignment and safety. For capability assessment, we include 12 benchmark datasets to evaluate Chinese LLMs from 4 sub-dimensions: NLP tasks, disciplinary knowledge, commonsense reasoning and mathematical reasoning. For alignment assessment, OpenEval contains 7 datasets that examines the bias, offensiveness and illegalness in the outputs yielded by Chinese LLMs. To evaluate safety, especially anticipated risks (e.g., power-seeking, self-awareness) of advanced LLMs, we include 6 datasets. In addition to these benchmarks, we have implemented a phased public evaluation and benchmark update strategy to ensure that OpenEval is in line with the development of Chinese LLMs or even able to provide cutting-edge benchmark datasets to guide the development of Chinese LLMs. In our first public evaluation, we have tested a range of Chinese LLMs, spanning from 7B to 72B parameters, including both open-source and proprietary models. Evaluation results indicate that while Chinese LLMs have shown impressive performance in certain tasks, more attention should be directed towards broader aspects such as commonsense reasoning, alignment, and safety.

Published
2024

6. Text Classification Based on Multilingual Back-Translation and Model Ensemble

Author

Song, Jinwang, Zan, Hongying, Liu, Tao, Zhang, Kunli, Ji, Xinmeng, Cui, Tingting, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Xu, Hua, editor, Chen, Qingcai, editor, Lin, Hongfei, editor, Wu, Fei, editor, Liu, Lei, editor, Tang, Buzhou, editor, Hao, Tianyong, editor, Huang, Zhengxing, editor, Lei, Jianbo, editor, Li, Zuofeng, editor, and Zong, Hui, editor

Published
2024
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8. Characteristics of intra-annual distribution of precipitation and incoming water and the synchronization analysis of their changes in the lower reaches of the Yangtze river basin

Author

Lu Kaidong, Cui Tingting, Wang Yintang, and Liu Yong

Subjects
the lower reaches of the Yangtze river basin, concentration degree, concentration period, synchronization analysis, intra-annual distribution, Science
Abstract

Precipitation and incoming water are the key contributing factors to local flooding events, and analyzing the intra-annual distribution and change characteristics of precipitation and incoming water will be beneficial to the understanding of flooding contributing factors in this region. In this paper, the characteristics of intra-annual distribution of precipitation and incoming water and the synchronization of their changes in the lower reaches of the Yangtze River Basin (LYRB) from 1980 to 2020 are studied using the concentration degree and concentration period as quantitative indicators. The results are as follows: 1) the maximum precipitation occurs earlier in the year, while maximum incoming water occurs with little variation in timing but significant variation in total volume; 2) the concentration degree of both precipitation and incoming water show a slowly decreasing trend. The concentration period of precipitation is slightly advanced, and that of incoming water is significantly delayed; 3) the occurrence time and concentration period of the incoming water peak during 2010–2020 lagged behind that of precipitation, which played a role in suppressing the occurrence of floods in the LYRB. This study can provide a scientific basis for the future supply and demand of water resources in the LYRB for safe use.

Published
2024
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23. Identification and quantification of chain-pairing variants or mispaired species of asymmetric monovalent bispecific IgG1 monoclonal antibody format using reverse-phase polyphenyl chromatography coupled electrospray ionization mass spectrometry

Author

Poskute, Ryte, Sankaran, Praveen Kallamvalliillam, Sewell, Laura, Lepore, Giordana, Shrubsall, Rebecca, Dewis, Lydia, Watanabe, Yasunori, Wong, Vanessa, Pascual Fernandez, Laura, Mishra, Rahul, Holt, Alexander, Sou, Susie, Harris, Claire, Moreno Rodriguez, Cristina, Cankorur-Cetinkaya, Ayca, Smith, Jennifer, Lonska, Nikola, Powell, Adam, Cui, Tingting, Cheeks, Matthew, and Lindo, Viv

Published
2024
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24. Study on the Characteristics and Persistence of Precipitation Changes in the Lower Reaches of Yangtze River Basin

Author

Lu, Kaidong, Cui, Tingting, Wang, Yintang, Liu, Yong, Shang, Shouwei, Chan, Albert P. C., Series Editor, Hong, Wei-Chiang, Series Editor, Mellal, Mohamed Arezki, Series Editor, Narayanan, Ramadas, Series Editor, Nguyen, Quang Ngoc, Series Editor, Ong, Hwai Chyuan, Series Editor, Sachsenmeier, Peter, Series Editor, Sun, Zaicheng, Series Editor, Ullah, Sharif, Series Editor, Wu, Junwei, Series Editor, Zhang, Wei, Series Editor, Li, Dayong, editor, Zhang, Yu, editor, and Luan, Yalin, editor

Published
2023
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25. Investigation on the Flight Stress and Causes at Different Mission Phases

Author

Liu, Juan, Bai, Shuang, Guo, Hua, Duan, Yu, Guo, Xiaochao, Zhong, Ating, Pan, Wei, Du, Jian, Lin, Rong, Cui, Tingting, Zhou, Yubin, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Long, Shengzhao, editor, and Dhillon, Balbir S., editor

Published
2023
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27. Preparation and Analysis of Fucoxanthin-Loaded Nanoparticles Based on Fucoidan from Sargassum horneri

Author

LIU Xue, JU Wenming, XU Jingyi, ZHANG Miansong, CUI Tingting, DU Hongfang, XU Zhenlu, LIU Changheng, JIA Airong

Subjects
sargassum horneri, fucoidan, fucoxanthin, nanoparticles, Food processing and manufacture, TP368-456
Abstract

In order to prevent fucoxanthin degradation in the stomach before entering the intestine, pH-sensitive nanoparticles based on fucoidan and chitosan were constructed for the efficient delivery of fucoxanthin in the gastrointestinal environment. In this study, fucoxanthin and a fucoidan fraction were extracted from Sargassum horneri. High performance liquid chromatography (HPLC) was used to determine the purity of fucoxanthin. High performance gel permeation chromatography (HPGPC), chemical methods and HPLC were used to determine the molecular mass, physicochemical characteristics and monosaccharide composition of the fucoidan fraction. Fucoxanthin-loaded nanoparticles with different fucoidan/chitosan mass ratios of 0.6:1, 0.8:1 and 1:1 were prepared by polyelectrolyte self-assembly. Fourier transform infrared (FTIR) spectroscopy was used to evaluate the interaction between fucoidan and chitosan, and the physicochemical characteristics of fucoxanthin-loaded nanoparticles and the changes in its size, fucoidan-loading rate, and fucoxanthin-loading rate during simulated gastrointestinal digestion were determined to evaluate the stability of the nanoparticles in the gastrointestinal tract. Results indicated that the purity of fucoxanthin from S. horneri was 13.57%. The average molecular mass of the fucoidan was 342 kDa. The contents of total sugar, protein, uronic acid and sulfate group in it were 52.45%, 7.96%, 9.25% and 19.26%, respectively. Moreover, the fucoidan was composed of fucose, galactose, mannose, glucuronic acid and xylose, among which fucose and galactose were the most abundant monosaccharides. FTIR spectra showed non-covalent interactions between fucoidan and chitosan in the nanoparticles and good binding state between them. The particle size of fucoxanthin-loaded nanoparticles was 360–430 nm, the zeta potential was 26–31 mV, and the polydispersity index (PDI) was 0.23–0.27, indicating that the nanoemulsion was uniform and stable. The fucoidan-loading rate was 87%–90%, and the fucoxanthin-loading rate was 87%–91%, indicating that fucoxanthin was well encapsulated in the nanoparticles. In vitro simulated digestion experiments showed that the particle size, fucoidan-loading rate and fucoxanthin-loading rate of the nanoparticles in simulated gastric juice did not change significantly, indicating that the nanoparticles were stable in simulated gastric environment. In simulated intestinal fluid, the particle size increased significantly, and the fucoidan-loading rate as well as fucoxanthin-loading rate decreased significantly, indicating the expansion and depolymerization of the nanoparticles in simulated intestinal environment. As a result, efficient delivery of fucoxanthin in simulated gastrointestinal tract was accomplished. At the fucoidan/chitosan mass ratio of 1:1, the effect was most obvious.

Published
2023
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