no code implementations • 15 Apr 2025 • Yu Gao, Lixue Gong, Qiushan Guo, Xiaoxia Hou, Zhichao Lai, Fanshi Li, Liang Li, Xiaochen Lian, Chao Liao, Liyang Liu, Wei Liu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Rui Wang, Xuanda Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Xin Xia, Xuefeng Xiao, Zhonghua Zhai, Xinyu Zhang, Qi Zhang, Yuwei Zhang, Shijia Zhao, Jianchao Yang, Weilin Huang
At the data stratum, we double the dataset using a defect-aware training paradigm and a dual-axis collaborative data-sampling framework.
no code implementations • 12 Mar 2025 • Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang
Interestingly, we observe that the internal attention weights from the generated CoT tokens can effectively ground implicit facts, even when these facts are not explicitly recalled.
1 code implementation • 10 Mar 2025 • Lixue Gong, Xiaoxia Hou, Fanshi Li, Liang Li, Xiaochen Lian, Fei Liu, Liyang Liu, Wei Liu, Wei Lu, Yichun Shi, Shiqi Sun, Yu Tian, Zhi Tian, Peng Wang, Xun Wang, Ye Wang, Guofeng Wu, Jie Wu, Xin Xia, Xuefeng Xiao, Linjie Yang, Zhonghua Zhai, Xinyu Zhang, Qi Zhang, Yuwei Zhang, Shijia Zhao, Jianchao Yang, Weilin Huang
To address these limitations, we present Seedream 2. 0, a native Chinese-English bilingual image generation foundation model that excels across diverse dimensions, which adeptly manages text prompt in both Chinese and English, supporting bilingual image generation and text rendering.
no code implementations • 10 Mar 2025 • Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang
There has been a surge in the use of large language models (LLM) conversational agents to generate responses based on long-term history from multiple sessions.
no code implementations • 10 Feb 2025 • Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis Shung, Shannon McWeeney, Jessica Dafflon, Sarah Jabbour
The fourth Machine Learning for Health (ML4H) symposium was held in person on December 15th and 16th, 2024, in the traditional, ancestral, and unceded territories of the Musqueam, Squamish, and Tsleil-Waututh Nations in Vancouver, British Columbia, Canada.
no code implementations • 27 Jan 2025 • Weijie He, Yuwei Zhang, Ting Xu, Tai An, Yingbin Liang, Bo Zhang
Deep learning has emerged as a transformative approach for solving complex pattern recognition and object detection challenges.
1 code implementation • 14 Oct 2024 • Di wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu
Recent large language model (LLM)-driven chat assistant systems have integrated memory components to track user-assistant chat histories, enabling more accurate and personalized responses.
no code implementations • 7 Oct 2024 • Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo
The high incidence and mortality rates associated with respiratory diseases underscores the importance of early screening.
no code implementations • 26 Sep 2024 • Qiguo Sun, Hanyue Huang, XiBei Yang, Yuwei Zhang
Moreover, the prevalent use of the Black-Scholes formula in hybrid models fails to accurately capture the discontinuity in the price process, limiting model performance, especially under scarce data conditions.
no code implementations • 25 Sep 2024 • Ning Sun, YuFei Wang, Yuwei Zhang, Jixiang Wan, Shenyue Wang, Ping Liu, Xudong Zhang
Human Activity Recognition (HAR) has gained great attention from researchers due to the popularity of mobile devices and the need to observe users' daily activity data for better human-computer interaction.
no code implementations • 8 Aug 2024 • Yuwei Zhang, Junming Huang, Sitong Liu, Zexi Chen, Zizheng Li
This paper advances a novel architectural schema anchored upon the Transformer paradigm and innovatively amalgamates the K-means categorization algorithm to augment the contextual apprehension capabilities of the schema.
no code implementations • 11 Jul 2024 • Zilong Wang, Zifeng Wang, Long Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Retrieval augmented generation (RAG) combines the generative abilities of large language models (LLMs) with external knowledge sources to provide more accurate and up-to-date responses.
1 code implementation • 23 Jun 2024 • Yuwei Zhang, Tong Xia, Jing Han, Yu Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo
Our pretrained models demonstrate superior performance (against existing acoustic models pretrained with general audio on 16 out of 19 tasks) and generalizability (to unseen datasets and new respiratory audio modalities).
no code implementations • 16 Jun 2024 • Yanming Liu, Xinyue Peng, Yuwei Zhang, Xiaolan Ke, Songhang Deng, Jiannan Cao, Chen Ma, Mengchen Fu, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin, Xuhong Zhang
Large language models have repeatedly shown outstanding performance across diverse applications.
no code implementations • 6 Jun 2024 • Jixiang Wan, Xudong Zhang, Shuzhou Dong, Yuwei Zhang, Yuchen Yang, Ruoxi Wu, Ye Jiang, Jijunnan Li, Jinquan Lin, Ming Yang
To balance efficiency and accuracy, we propose a novel lightweight visual semantic localization algorithm that employs stable semantic features instead of low-level texture features.
1 code implementation • 6 Jun 2024 • Yanming Liu, Xinyue Peng, Jiannan Cao, Shi Bo, Yuwei Zhang, Xuhong Zhang, Sheng Cheng, Xun Wang, Jianwei Yin, Tianyu Du
Experiments show that our approach demonstrates a high pass and win rate across different datasets and optimizes the planning scheme for tool learning in models such as GPT-4 and Claude 3, showcasing the potential of our method.
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.
1 code implementation • 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
Prompting large language models (LLMs) for data augmentation has recently become a common practice in few-shot NLP tasks.
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, Xiaolei Lu, Albert Y. S. Lam, Xiao-Ming Wu
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, Albert Y. S. Lam, Xiao-Ming Wu
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'.