Search Results - "Jinyan SU"

Pediatric Tuina for functional constipation in children: study protocol for a randomized controlled trail by Zhang, Xinghe, Hu, Luan, Li, Li, Wang, Yuanwang, Zhang, Can, Su, Jinyan, Di, Hua, Gao, Qing, Tai, Xiantao, Guo, Taipin

“…Functional constipation (FC) is a common functional gastrointestinal disorder, which brings many negative impacts to the children's daily life. Pediatric Tuina…”
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An interval method to measure the uncertainty of basic probability assignment by Su, Jinyan, Deng, Yong

“…Comparing the probability distribution, basic probability assignment in evidence theory is more efficient to deal with uncertain information. However, the…”
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PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled data by Su, Jinyan, Xu, Jinhui, Wang, Di

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Sound source localization for circular arrays of directional microphones by Rui, Y., Florencio, D., Lam, W., Jinyan Su

“…Previous research in sound source localization has helped increase the robustness of estimates to noise and reverberation. Circular arrays are of particular…”
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Evidential global linguistic terms entropy by Su, Jinyan, Deng, Yong, Huynh, Nam-Van

“…In this paper, we consider a more comprehensive entropy measure for linguistic mass function, which is called evidential global linguistic terms entropy…”
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Learning from Streaming Data when Users Choose by Su, Jinyan, Dean, Sarah

“…In digital markets comprised of many competing services, each user chooses between multiple service providers according to their preferences, and the chosen…”
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Regional tendencies of research collaboration of social sciences in China:Analysis based on papers of economic journals by Jinyan SU

“…Purpose:This study intends to evaluate the regional tendencies of research collaboration of social sciences in China,and shows the pattern of China’s…”
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Corpus Poisoning via Approximate Greedy Gradient Descent by Su, Jinyan, Nakov, Preslav, Cardie, Claire

“…Dense retrievers are widely used in information retrieval and have also been successfully extended to other knowledge intensive areas such as language models,…”
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The Application of Multimedia in Academic Library by Qiu Junping, Su Jinyan, Luo Li, Zhou Chunlei

“…This paper has presented the multimedia application framework in academic libraries. Three application layers were discussed in this article: library…”
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Adapting Fake News Detection to the Era of Large Language Models by Su, Jinyan, Cardie, Claire, Nakov, Preslav

“…In the age of large language models (LLMs) and the widespread adoption of AI-driven content creation, the landscape of information dissemination has witnessed…”
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Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited by Su, Jinyan, Zhao, Changhong, Wang, Di

“…In this paper, we revisit the problem of Differentially Private Stochastic Convex Optimization (DP-SCO) in Euclidean and general $\ell_p^d$ spaces…”
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On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data by Su, Jinyan, Xu, Jinhui, Wang, Di

“…In this paper, we study the problem of PAC learning halfspaces in the non-interactive local differential privacy model (NLDP). To breach the barrier of…”
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Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision by Su, Jinyan, Yu, Peilin, Zhang, Jieyu, Bach, Stephen H

“…Prompted weak supervision (PromptedWS) applies pre-trained large language models (LLMs) as the basis for labeling functions (LFs) in a weak supervision…”
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DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text by Su, Jinyan, Zhuo, Terry Yue, Wang, Di, Nakov, Preslav

“…With the rapid progress of large language models (LLMs) and the huge amount of text they generated, it becomes more and more impractical to manually…”
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Faster Rates of Private Stochastic Convex Optimization by Su, Jinyan, Hu, Lijie, Wang, Di

“…In this paper, we revisit the problem of Differentially Private Stochastic Convex Optimization (DP-SCO) and provide excess population risks for some special…”
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Fake News Detectors are Biased against Texts Generated by Large Language Models by Su, Jinyan, Zhuo, Terry Yue, Mansurov, Jonibek, Wang, Di, Nakov, Preslav

“…The spread of fake news has emerged as a critical challenge, undermining trust and posing threats to society. In the era of Large Language Models (LLMs), the…”
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Cooperation, Retaliation and Forgiveness in Revision Games by Hao, Dong, Shi, Qi, Su, Jinyan, An, Bo

“…Revision game is a very new model formulating the real-time situation where players dynamically prepare and revise their actions in advance before a deadline…”
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SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Afzal, Osama Mohammed, Mahmoud, Tarek, Puccetti, Giovanni, Arnold, Thomas, Whitehouse, Chenxi, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

“…Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024) We present the results and the main findings of SemEval-2024 Task 8:…”
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M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Afzal, Osama Mohanned, Mahmoud, Tarek, Puccetti, Giovanni, Arnold, Thomas, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

“…ACL 2024 main The advent of Large Language Models (LLMs) has brought an unprecedented surge in machine-generated text (MGT) across diverse channels. This…”
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M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection by Wang, Yuxia, Mansurov, Jonibek, Ivanov, Petar, Su, Jinyan, Shelmanov, Artem, Tsvigun, Akim, Whitehouse, Chenxi, Afzal, Osama Mohammed, Mahmoud, Tarek, Sasaki, Toru, Arnold, Thomas, Aji, Alham Fikri, Habash, Nizar, Gurevych, Iryna, Nakov, Preslav

“…Large language models (LLMs) have demonstrated remarkable capability to generate fluent responses to a wide variety of user queries. However, this has also…”
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