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10. UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

Author

Li, Yixia, Xiang, Rong, Song, Yanlin, and Li, Jing

Subjects
Computer Science - Computation and Language
Abstract

Social media platforms are vital for expressing opinions and understanding public sentiment, yet many analytical tools overlook passive users who mainly consume content without engaging actively. To address this, we introduce UniPoll, an advanced framework designed to automatically generate polls from social media posts using sophisticated natural language generation (NLG) techniques. Unlike traditional methods that struggle with social media's informal and context-sensitive nature, UniPoll leverages enriched contexts from user comments and employs multi-objective optimization to enhance poll relevance and engagement. To tackle the inherently noisy nature of social media data, UniPoll incorporates Retrieval-Augmented Generation (RAG) and synthetic data generation, ensuring robust performance across real-world scenarios. The framework surpasses existing models, including T5, ChatGLM3, and GPT-3.5, in generating coherent and contextually appropriate question-answer pairs. Evaluated on the Chinese WeiboPolls dataset and the newly introduced English RedditPolls dataset, UniPoll demonstrates superior cross-lingual and cross-platform capabilities, making it a potent tool to boost user engagement and create a more inclusive environment for interaction., Comment: Accepted by IEEE Transactions on Neural Networks and Learning Systems. Project page is live at https://uni-poll.github.io . Code are available at https://github.com/X1AOX1A/UniPoll

Published
2023
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12. Technology Roadmap for Flexible Sensors

Author

Luo, Yifei, Abidian, Mohammad Reza, Ahn, Jong-Hyun, Akinwande, Deji, Andrews, Anne M, Antonietti, Markus, Bao, Zhenan, Berggren, Magnus, Berkey, Christopher A, Bettinger, Christopher John, Chen, Jun, Chen, Peng, Cheng, Wenlong, Cheng, Xu, Choi, Seon-Jin, Chortos, Alex, Dagdeviren, Canan, Dauskardt, Reinhold H, Di, Chong-an, Dickey, Michael D, Duan, Xiangfeng, Facchetti, Antonio, Fan, Zhiyong, Fang, Yin, Feng, Jianyou, Feng, Xue, Gao, Huajian, Gao, Wei, Gong, Xiwen, Guo, Chuan Fei, Guo, Xiaojun, Hartel, Martin C, He, Zihan, Ho, John S, Hu, Youfan, Huang, Qiyao, Huang, Yu, Huo, Fengwei, Hussain, Muhammad M, Javey, Ali, Jeong, Unyong, Jiang, Chen, Jiang, Xingyu, Kang, Jiheong, Karnaushenko, Daniil, Khademhosseini, Ali, Kim, Dae-Hyeong, Kim, Il-Doo, Kireev, Dmitry, Kong, Lingxuan, Lee, Chengkuo, Lee, Nae-Eung, Lee, Pooi See, Lee, Tae-Woo, Li, Fengyu, Li, Jinxing, Liang, Cuiyuan, Lim, Chwee Teck, Lin, Yuanjing, Lipomi, Darren J, Liu, Jia, Liu, Kai, Liu, Nan, Liu, Ren, Liu, Yuxin, Liu, Yuxuan, Liu, Zhiyuan, Liu, Zhuangjian, Loh, Xian Jun, Lu, Nanshu, Lv, Zhisheng, Magdassi, Shlomo, Malliaras, George G, Matsuhisa, Naoji, Nathan, Arokia, Niu, Simiao, Pan, Jieming, Pang, Changhyun, Pei, Qibing, Peng, Huisheng, Qi, Dianpeng, Ren, Huaying, Rogers, John A, Rowe, Aaron, Schmidt, Oliver G, Sekitani, Tsuyoshi, Seo, Dae-Gyo, Shen, Guozhen, Sheng, Xing, Shi, Qiongfeng, Someya, Takao, Song, Yanlin, Stavrinidou, Eleni, Su, Meng, Sun, Xuemei, Takei, Kuniharu, Tao, Xiao-Ming, Tee, Benjamin CK, Thean, Aaron Voon-Yew, and Trung, Tran Quang

Subjects
Data Management and Data Science, Information and Computing Sciences, Humans, Wearable Electronic Devices, Quality of Life, soft materials, mechanics engineering, flexible electronics, conformable sensors, bioelectronics, human-machine interfaces, body area sensor networks, technology translation, sustainable electronics, Nanoscience & Nanotechnology
Abstract

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.

Published
2023

41. Material Gain Concentration Quenching in Organic Dye-Doped Polymer Thin Films

Author

Vogelbacher, Florian, Zhou, Xue, Huang, Jinhua, Li, Mingzhu, Jiang, Ke-Jian, Song, Yanlin, Unterrainer, Karl, and Hainberger, Rainer

Subjects
Physics - Optics, Physics - Applied Physics
Abstract

The optimization of material gain in optically pumped dye-doped polymer thin films is an important task in the development of organic solid-state lasers. In this work, we present a theoretical model that accommodates the influence of concentration quenching on material gain and employ it to study the novel dye molecule 2-(4-(bis(4-(tert-butyl)phenyl)amino)benzylidene)malononitrile (PMN) and the well-established dye molecule 4-(dicyanomethylene)-2-methyl-6-(4-dimethylaminostyryl)-4H-pyran (DCM) embedded in poly(methyl methacrylate) (PMMA). Polycarbonate was tested as an alternative host material for PMN. The material gain in these dye-doped polymer thin films was determined by the variable stripe length method. The inclusion of concentration quenching in the material gain expression is able to significantly reduce the overestimation of the gain efficiency inherent to a linear model., Comment: \copyright{} 2019 Optical Society of America. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved

Published
2019
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