no code implementations • 22 Apr 2024 • Qingyang Wu, Ying Xu, Tingsong Xiao, Yunze Xiao, Yitong Li, Tianyang Wang, Yichi Zhang, Shanghai Zhong, Yuwei Zhang, Wei Lu, Yifan Yang
This study conducts a comprehensive review and analysis of the existing literature on the attitudes of LLMs towards the 17 SDGs, emphasizing the comparison between their attitudes and support for each goal and those of humans.
2 code implementations • 17 Mar 2024 • Yuwei Zhang, Yan Wu, Yanming Liu, Xinyue Peng
Object detection methods under known single degradations have been extensively investigated.
no code implementations • 7 Mar 2024 • Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour
The triplet task gauges the model's understanding of two semantic concepts paramount in real-world conversational systems-- negation and implicature.
no code implementations • 16 Feb 2024 • Zirui Liao, Jian Shi, Yuwei Zhang, Shaoping Wang, Zhiyong Sun
Furthermore, miscellaneous resilient coordination problems are discussed in this survey.
1 code implementation • 15 Feb 2024 • Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
This work aims to build a text embedder that can capture characteristics of texts specified by user instructions.
no code implementations • 7 Jan 2024 • Chao Zhang, Yongxiang Guo, Dawid Sheng, Zhixiong Ma, Chao Sun, Yuwei Zhang, Wenxin Zhao, Fenyan Zhang, Tongfei Wang, Xing Sheng, Milin Zhang
This work presents the first fabricated electrophysiology-optogenetic closed-loop bidirectional brain-machine interface (CL-BBMI) system-on-chip (SoC) with electrical neural signal recording, on-chip sleep staging and optogenetic stimulation.
1 code implementation • 14 Jul 2023 • Letian Peng, Yuwei Zhang, Jingbo Shang
In this paper, we propose a novel method, Chain-of-Thoughts Attribute Manipulation (CoTAM), to guide few-shot learning by carefully crafted data from Large Language Models (LLMs).
1 code implementation • 24 May 2023 • Yuwei Zhang, Zihan Wang, Jingbo Shang
First, we prompt ChatGPT for insights on clustering perspective by constructing hard triplet questions <does A better correspond to B than C>, where A, B and C are similar data points that belong to different clusters according to small embedder.
no code implementations • ICCV 2023 • Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos
To resolve the first drawback, we propose a new testing dataset, RGQA, which combines AQs from an existing VQA dataset with around 29K human-annotated UQs.
no code implementations • 21 Sep 2022 • Sahand Sabour, Wen Zhang, Xiyao Xiao, Yuwei Zhang, Yinhe Zheng, Jiaxin Wen, Jialu Zhao, Minlie Huang
In this study, we analyze the effectiveness of Emohaa in reducing symptoms of mental distress.
no code implementations • 1 Jun 2022 • Peng Zhang, Yuwei Zhang, Nuo Xu
Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.
1 code implementation • ACL 2022 • Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam
Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.
1 code implementation • NAACL 2022 • Haode Zhang, Haowen Liang, Yuwei Zhang, LiMing Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y. S. Lam
It is challenging to train a good intent classifier for a task-oriented dialogue system with only a few annotations.
no code implementations • Findings (EMNLP) 2021 • Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam
This paper investigates the effectiveness of pre-training for few-shot intent classification.
no code implementations • 31 May 2021 • Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye
Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.
no code implementations • 17 May 2021 • Andrey Ignatov, Grigory Malivenko, Radu Timofte, Sheng Chen, Xin Xia, Zhaoyan Liu, Yuwei Zhang, Feng Zhu, Jiashi Li, Xuefeng Xiao, Yuan Tian, Xinglong Wu, Christos Kyrkou, Yixin Chen, Zexin Zhang, Yunbo Peng, Yue Lin, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Himanshu Kumar, Chao Ge, Pei-Lin Wu, Jin-Hua Du, Andrew Batutin, Juan Pablo Federico, Konrad Lyda, Levon Khojoyan, Abhishek Thanki, Sayak Paul, Shahid Siddiqui
To address this problem, we introduce the first Mobile AI challenge, where the target is to develop quantized deep learning-based camera scene classification solutions that can demonstrate a real-time performance on smartphones and IoT platforms.
1 code implementation • 6 May 2021 • Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre
Here, we present a single approach to both of these problems in the form of "KuraNet", a deep-learning-based system of coupled oscillators that can learn to synchronize across a distribution of disordered network conditions.
no code implementations • CVPR 2020 • Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang
We also find that texture features have an impelling effect on these tasks and that the pre-trained ImageNet model has good performance in extracting texture features.
1 code implementation • 18 Feb 2020 • Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz
To address this, we developed an analysis pipeline that segments nuclei in whole slide tissue images from multiple cancer types with a quality control process.
no code implementations • 17 Apr 2019 • Yuwei Zhang, Xin Wu, Chenyang Gu, Yueqi Xie
This is a method report for the Kaggle data competition 'Predict future sales'.