1 code implementation • EMNLP 2021 • Kunrui Zhu, Yan Gao, Jiaqi Guo, Jian-Guang Lou
Experiments on our dataset demonstrate that CAST significantly outperforms state-of-the-art neural machine translation models.
1 code implementation • Findings (EMNLP) 2021 • Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang
Using only 10% of utterance-denotation pairs, the parser achieves 84. 2 denotation accuracy on WikiSQL, which is competitive with the previous state-of-the-art approaches using 100% labeled data.
1 code implementation • EMNLP 2020 • Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu
Thus, the impact of meaning representation on semantic parsing is less understood.
1 code implementation • 21 Jan 2025 • Jiaqi Guo, Yunnan Wu, Evangelos Kaimakamis, Georgios Petmezas, Vasileios E. Papageorgiou, Nicos Maglaveras, Aggelos K. Katsaggelos
With the advent of the COVID-19 pandemic, ultrasound imaging has emerged as a promising technique for COVID-19 detection, due to its non-invasive nature, affordability, and portability.
no code implementations • 17 Dec 2024 • Yu Xi, Haoyu Li, Hao Li, Jiaqi Guo, Xu Li, Wen Ding, Kai Yu
In recent years, there has been a growing interest in designing small-footprint yet effective Connectionist Temporal Classification based keyword spotting (CTC-KWS) systems.
1 code implementation • 20 Sep 2024 • Jiaqi Guo, Santiago Lopez-Tapia, Wing Shun Li, Yunnan Wu, Marcelo Carignano, Vadim Backman, Vinayak P. Dravid, Aggelos K. Katsaggelos
Computed tomography is a widely used imaging modality with applications ranging from medical imaging to material analysis.
2 code implementations • 16 Feb 2024 • Dayou Du, Yijia Zhang, Shijie Cao, Jiaqi Guo, Ting Cao, Xiaowen Chu, Ningyi Xu
The upscaling of Large Language Models (LLMs) has yielded impressive advances in natural language processing, yet it also poses significant deployment challenges.
no code implementations • 17 Jan 2024 • Jiaqi Guo, Sitong Su, Junchen Zhu, Lianli Gao, Jingkuan Song
Therefore, we propose a training-free pipeline employing a pre-trained diffusion model imbued with semantic prior knowledge, which can process composite videos with broader semantic disparities.
no code implementations • 12 Jan 2024 • Yu Xi, Baochen Yang, Hao Li, Jiaqi Guo, Kai Yu
Furthermore, experiments on the continuous speech dataset LibriSpeech demonstrate that, by incorporating audio discrimination, CLAD achieves significant performance gain over CL without audio discrimination.
1 code implementation • NeurIPS 2023 • Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
In this work, we propose LayoutPrompter, which leverages large language models (LLMs) to address the above problems through in-context learning.
no code implementations • ICCV 2023 • Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang
To model combined and incomplete constraints, we use a Transformer-based layout generation model and carefully design a way to represent constraints and layouts as sequences.
no code implementations • 16 May 2023 • Enyu Cai, Jiaqi Guo, Changye Yang, Edward J. Delp
In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning.
1 code implementation • ICCV 2023 • Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang
To tackle the challenge, we summarize three critical factors for achieving a mild forward process for the layout, i. e., legality, coordinate proximity and type disruption.
no code implementations • 23 Jan 2023 • Jiaqi Guo, Amy R. Reibman, Edward J. Delp
Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to learn identity information from labeled images in source domains and apply it to unlabeled images in a target domain.
Domain Adaptive Person Re-Identification
Image Generation
+1
1 code implementation • ACL 2022 • Xinyu Pi, Bing Wang, Yan Gao, Jiaqi Guo, Zhoujun Li, Jian-Guang Lou
The robustness of Text-to-SQL parsers against adversarial perturbations plays a crucial role in delivering highly reliable applications.
no code implementations • CVPR 2023 • Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang
First, to flexibly handle diverse constraints, we propose a constraint serialization scheme, which represents different user constraints as sequences of tokens with a predefined format.
no code implementations • 8 May 2022 • Enyu Cai, Zhankun Luo, Sriram Baireddy, Jiaqi Guo, Changye Yang, Edward J. Delp
The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation.
no code implementations • 29 Jan 2022 • Fei Gao, Peng Geng, Jiaqi Guo, YuAn Liu, Dingfeng Guo, Yabo Su, Jie zhou, Xiao Wei, Jin Li, Xu Liu
We introduce ApolloRL, an open platform for research in reinforcement learning for autonomous driving.
1 code implementation • Findings (ACL) 2021 • Qian Liu, Dejian Yang, Jiahui Zhang, Jiaqi Guo, Bin Zhou, Jian-Guang Lou
Recent years pretrained language models (PLMs) hit a success on several downstream tasks, showing their power on modeling language.
1 code implementation • ACL 2022 • Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang
HiTab provides 10, 686 QA pairs and descriptive sentences with well-annotated quantity and entity alignment on 3, 597 tables with broad coverage of table hierarchies and numerical reasoning types.
no code implementations • ACL 2021 • Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu
However, we identify two biases in existing datasets for XDTS: (1) a high proportion of context-independent questions and (2) a high proportion of easy SQL queries.
4 code implementations • ICLR 2022 • Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
TAPEX addresses the data scarcity challenge via guiding the language model to mimic a SQL executor on the diverse, large-scale and high-quality synthetic corpus.
Ranked #1 on
Semantic Parsing
on WikiSQL
(Denotation accuracy (test) metric)
1 code implementation • 3 Feb 2020 • Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
Recently semantic parsing in context has received considerable attention, which is challenging since there are complex contextual phenomena.
5 code implementations • ACL 2019 • Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang
We present a neural approach called IRNet for complex and cross-domain Text-to-SQL.
no code implementations • EMNLP 2018 • Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang
Recent research proposes syntax-based approaches to address the problem of generating programs from natural language specifications.
no code implementations • 22 Sep 2016 • Jelena Bradic, Jiaqi Guo
In this paper, we develop smoothed estimating equations that augment the de-biasing method, such that the resulting estimator is adaptive to censoring and is more robust to the misspecification of the error distribution.