no code implementations • CCL 2022 • Mengqi Du, Feng Jiang, Xiaomin Chu, Peifeng Li
“篇章分析是自然语言处理领域的研究热点和重点, 篇章功能语用研究旨在分析篇章单元在篇章中的功能和作用, 有助于深入理解篇章的主题和内容。目前篇章分析研究以形式语法为主, 而篇章作为一个整体的语义单位, 其功能和语义却没有引起足够重视。已有功能语用研究以面向事件抽取任务为主, 并未进行通用领域的功能语用研究。鉴于功能语用研究的重要性和研究现状, 本文提出了基于新闻图式结构的篇章功能语用识别方法来识别篇章功能语用。该方法在获取段落交互信息的同时又融入了篇章的新闻图式结构信息, 并结合段落所在篇章中的位置信息, 从而有效地提高了篇章功能语用的识别能力。在汉语宏观篇章树库的实验结果证明, 本文提出的方法优于所有基准系统。”
no code implementations • COLING 2022 • Yaqiong He, Feng Jiang, Xiaomin Chu, Peifeng Li
Automatic Essay Scoring (AES) is the task of using the computer to evaluate the quality of essays automatically.
no code implementations • COLING 2022 • Feng Jiang, Jianwei Niu, Shasha Mo, Shengda Fan
To this end, we propose a novel DocRE model called Key Mention pairs Guided Relation Extractor (KMGRE) to directly model mention-level relations, containing two modules: a mention-level relation extractor and a key instance classifier.
no code implementations • EMNLP 2021 • Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu
Therefore, we first view IDRR as a generation task and further propose a method joint modeling of the classification and generation.
no code implementations • 18 Oct 2024 • Zihao Cheng, Li Zhou, Feng Jiang, Benyou Wang, Haizhou Li
The rapid development of large language models (LLMs), like ChatGPT, has resulted in the widespread presence of LLM-generated content on social media platforms, raising concerns about misinformation, data biases, and privacy violations, which can undermine trust in online discourse.
no code implementations • 20 Sep 2024 • Chen Zhang, Dading Chong, Feng Jiang, Chengguang Tang, Anningzhe Gao, Guohua Tang, Haizhou Li
Building upon the FLR mechanism, we propose to automatically mine preference data from the online generations of a base policy model.
no code implementations • 26 Jun 2024 • Wenya Xie, Qingying Xiao, Yu Zheng, Xidong Wang, Junying Chen, Ke Ji, Anningzhe Gao, Xiang Wan, Feng Jiang, Benyou Wang
Based on this, we construct a Chinese medical dataset called DoctorFLAN to support the entire workflow of doctors, which includes 92K Q\&A samples from 22 tasks and 27 specialists.
no code implementations • 20 Jun 2024 • Ziche Liu, Rui Ke, Feng Jiang, Haizhou Li
Then, we design a unified comparing method with ratio-based efficiency indicators and ranking-based feasibility indicators to overcome the difficulty of comparing various models with diverse experimental settings.
1 code implementation • 30 May 2024 • Jiahui Xu, Feng Jiang, Anningzhe Gao, Haizhou Li
The interaction between these two structures has not been considered for joint modeling and mutual learning.
no code implementations • 30 May 2024 • Chen Zhang, Chengguang Tang, Dading Chong, Ke Shi, Guohua Tang, Feng Jiang, Haizhou Li
This automatic mining process is efficiently accomplished through the collaboration between a large-scale teacher model and a small-scale student model.
no code implementations • 26 Apr 2024 • Ronghua Liao, Chen Hui, Lang Yuan, Haiqi Zhu, Feng Jiang
No-Reference Image Quality Assessment (NR-IQA) aims at estimating image quality in accordance with subjective human perception.
no code implementations • 23 Apr 2024 • Tong Zhang, Wenxue Cui, Shaohui Liu, Feng Jiang
Convolutional Neural Network (CNN) and Transformer have attracted much attention recently for video post-processing (VPP).
no code implementations • 20 Feb 2024 • Hanchen Xia, Feng Jiang, Naihao Deng, Cunxiang Wang, Guojiang Zhao, Rada Mihalcea, Yue Zhang
Large Language Models (LLMs) have demonstrated strong performance on various tasks.
no code implementations • 16 Feb 2024 • Guiming Hardy Chen, Shunian Chen, Ziche Liu, Feng Jiang, Benyou Wang
We further exploit these biases to conduct attacks on LLM judges.
no code implementations • 24 Jan 2024 • Saiyang Na, Yuzhi Guo, Feng Jiang, Hehuan Ma, Junzhou Huang
To address this, we introduce Segment Any Cell (SAC), an innovative framework that enhances SAM specifically for nuclei segmentation.
1 code implementation • 19 Jan 2024 • Tianyi Zhao, Maoxun Yuan, Feng Jiang, Nan Wang, Xingxing Wei
Specifically, following this perspective, we design a Redundant Spectrum Removal module to remove interfering information within each modality coarsely and a Dynamic Feature Selection module to finely select the desired features for feature fusion.
1 code implementation • 17 Jan 2024 • Feng Jiang, Kuang Wang, Haizhou Li
In the contemporary information era, significantly accelerated by the advent of Large-scale Language Models, the proliferation of scientific literature is reaching unprecedented levels.
1 code implementation • 16 Nov 2023 • Junying Chen, Xidong Wang, Ke Ji, Anningzhe Gao, Feng Jiang, Shunian Chen, Hongbo Zhang, Dingjie Song, Wenya Xie, Chuyi Kong, Jianquan Li, Xiang Wan, Haizhou Li, Benyou Wang
We validate the new protocol in the domains where proprietary LLMs like ChatGPT perform relatively poorly, such as Traditional Chinese Medicine.
1 code implementation • 18 Oct 2023 • Yaxin Fan, Feng Jiang, Benyou Wang, Peifeng Li, Haizhou Li
Recent studies primarily focused on the quality of FMs evaluated by GPT-4 or their ability to pass medical exams, no studies have quantified the extent of self-diagnostic atomic knowledge stored in FMs' memory, which is the basis of foundation models to provide factual and reliable suggestions.
no code implementations • 13 Oct 2023 • Feng Jiang, Chaoping Tu, Gang Zhang, Jun Li, Hanqing Huang, Junyu Lin, Di Feng, Jian Pu
LiDAR and camera are two critical sensors for multi-modal 3D semantic segmentation and are supposed to be fused efficiently and robustly to promise safety in various real-world scenarios.
no code implementations • 12 Sep 2023 • Xiaoxiao Ma, Chunzhi Yi, Zhicai Zhong, Hui Zhou, Baichun Wei, Haiqi Zhu, Feng Jiang
An essential premise for neuroscience brain network analysis is the successful segmentation of the cerebral cortex into functionally homogeneous regions.
1 code implementation • 21 Aug 2023 • Chuyi Kong, Yaxin Fan, Xiang Wan, Feng Jiang, Benyou Wang
The unparalleled performance of closed-sourced ChatGPT has sparked efforts towards its democratization, with notable strides made by leveraging real user and ChatGPT dialogues, as evidenced by Vicuna.
2 code implementations • 17 Aug 2023 • Xidong Wang, Guiming Hardy Chen, Dingjie Song, Zhiyi Zhang, Zhihong Chen, Qingying Xiao, Feng Jiang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li
We hope this benchmark provide first-hand experience in existing LLMs for medicine and also facilitate the widespread adoption and enhancement of medical LLMs within China.
1 code implementation • 26 Jul 2023 • Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li
Although model parameters are 20x larger than the SOTA baseline, the required amount of data for instruction tuning is 1200x smaller, illustrating the potential of open-source LLMs on native CGEC.
2 code implementations • 21 Jul 2023 • Lingyi Yang, Feng Jiang, Haizhou Li
Despite this, most previous studies have been predominantly geared towards creating detectors that differentiate between purely ChatGPT-generated texts and human-authored texts.
1 code implementation • 24 May 2023 • Feng Jiang, Weihao Liu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Haizhou Li
Topic segmentation and outline generation strive to divide a document into coherent topic sections and generate corresponding subheadings, unveiling the discourse topic structure of a document.
1 code implementation • 24 May 2023 • Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Jianquan Li, Guiming Chen, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, Haizhou Li
Experimental results demonstrate that HuatuoGPT achieves state-of-the-art results in performing medical consultation among open-source LLMs in GPT-4 evaluation, human evaluation, and medical benchmark datasets.
no code implementations • 23 May 2023 • Feng Jiang, Longwang He, Peifeng Li, Qiaoming Zhu, Haizhou Li
Discourse parsing, the task of analyzing the internal rhetorical structure of texts, is a challenging problem in natural language processing.
1 code implementation • 15 May 2023 • Yaxin Fan, Feng Jiang, Peifeng Li, Haizhou Li
In this paper, we aim to systematically inspect ChatGPT's performance in two discourse analysis tasks: topic segmentation and discourse parsing, focusing on its deep semantic understanding of linear and hierarchical discourse structures underlying dialogue.
no code implementations • 2 May 2023 • Jiangyi Lin, Yaxin Fan, Feng Jiang, Xiaomin Chu, Peifeng Li
And then we focus on the response-unknown task and propose a teacher-student framework based on hierarchical contrastive learning to predict the topic shift without the response.
1 code implementation • 28 Apr 2023 • Shoumeng Qiu, Feng Jiang, Haiqiang Zhang, xiangyang xue, Jian Pu
In this paper, we propose a novel multi-to-single knowledge distillation framework for the 3D point cloud semantic segmentation task to boost the performance of those hard classes.
1 code implementation • 22 Apr 2023 • Feng Jiang, Heng Gao, Shoumeng Qiu, Haiqiang Zhang, Ru Wan, Jian Pu
However, it is difficult for existing models to achieve both high inference speed and accuracy simultaneously.
1 code implementation • 20 Apr 2023 • Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu, Guiming Chen, Hongbo Zhang, Juhao Liang, Chen Zhang, Zhiyi Zhang, Jianquan Li, Xiang Wan, Benyou Wang, Haizhou Li
This paper presents our efforts to democratize ChatGPT across language.
no code implementations • 15 Apr 2023 • Tong Zhang, Wenxue Cui, Chen Hui, Feng Jiang
Deep network-based image and video Compressive Sensing(CS) has attracted increasing attentions in recent years.
no code implementations • 30 Mar 2023 • Chunzhi Yi, Baichun Wei, Wei Jin, Jianfei Zhu, Seungmin Rho, ZhiYuan Chen, Feng Jiang
Assessing the progression of muscle fatigue for daily exercises provides vital indicators for precise rehabilitation, personalized training dose, especially under the context of Metaverse.
2 code implementations • 28 Feb 2023 • Yan Shu, Shaohui Liu, Honglei Xu, Feng Jiang
Recently, developing an automatic reading system for analog measuring instruments has gained increased attention, as it enables the collection of numerous state of equipment.
1 code implementation • 2022 IEEE International Conference on Multimedia and Expo (ICME) 2022 • Chen Hui, Feng Jiang, Shaohui Liu, Debin Zhao
Subsequently, the content-independent SPN features of different scales are fused.
1 code implementation • 7 Dec 2021 • Wenxue Cui, Shaohui Liu, Feng Jiang, Debin Zhao
In this paper, a novel image CS framework using non-local neural network (NL-CSNet) is proposed, which utilizes the non-local self-similarity priors with deep network to improve the reconstruction quality.
no code implementations • NeurIPS 2021 • Yifei Wang, Zhengyang Geng, Feng Jiang, Chuming Li, Yisen Wang, Jiansheng Yang, Zhouchen Lin
Multi-view methods learn representations by aligning multiple views of the same image and their performance largely depends on the choice of data augmentation.
1 code implementation • ACL 2021 • Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, Feng Jiang
We present Retriever-Transducer-Checker (ReTraCk), a neural semantic parsing framework for large scale knowledge base question answering (KBQA).
Ranked #1 on Knowledge Base Question Answering on GrailQA
no code implementations • 9 Jun 2021 • Chunzhi Yi, Feng Jiang, Baichun Wei, Chifu Yang, Zhen Ding, Jubo Jin, Jie Liu
The results demonstrate our method is a promising solution to detecting and correcting IMU movements during JAE.
no code implementations • 22 Mar 2021 • Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou
Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.
no code implementations • 6 Jan 2021 • Wenxue Cui, Shaohui Liu, Feng Jiang, Yongliang Liu, Debin Zhao
The widespread application of audio communication technologies has speeded up audio data flowing across the Internet, which made it a popular carrier for covert communication.
no code implementations • COLING 2020 • Feng Jiang, Xiaomin Chu, Peifeng Li, Fang Kong, Qiaoming Zhu
Discourse structure tree construction is the fundamental task of discourse parsing and most previous work focused on English.
no code implementations • 16 Nov 2020 • Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang, Abdallah Benzine
The aim of removing parts from image or detected parts of the object is to force the model to detect the other features.
no code implementations • 4 Aug 2020 • Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang
Unfortunately, the network activates only the features that discriminate the object and does not activate the whole object.
no code implementations • 22 Jul 2020 • Ao Luo, Ning Xie, Zhijia Tao, Feng Jiang
In the application, short-form mobile video is so popular all over the world such as Tik Tok.
no code implementations • 6 Jan 2020 • Shuang Chen, Jinpeng Wang, Feng Jiang, Chin-Yew Lin
Existing state of the art neural entity linking models employ attention-based bag-of-words context model and pre-trained entity embeddings bootstrapped from word embeddings to assess topic level context compatibility.
Ranked #2 on Entity Disambiguation on AIDA-CoNLL (Micro-F1 metric)
no code implementations • IJCNLP 2019 • Shuang Chen, Jinpeng Wang, Xiaocheng Feng, Feng Jiang, Bing Qin, Chin-Yew Lin
Recent neural models for data-to-text generation rely on massive parallel pairs of data and text to learn the writing knowledge.
no code implementations • 21 Jan 2019 • Zhiwen Zuo, Lei Zhao, Liwen Zuo, Feng Jiang, Wei Xing, Dongming Lu
Unsupervised neural nets such as Restricted Boltzmann Machines(RBMs) and Deep Belif Networks(DBNs), are powerful in automatic feature extraction, unsupervised weight initialization and density estimation.
no code implementations • 17 Aug 2018 • Wenxue Cui, Tao Zhang, Shengping Zhang, Feng Jiang, WangMeng Zuo, Debin Zhao
To overcome this problem, in this paper, an intra prediction convolutional neural network (IPCNN) is proposed for intra prediction, which exploits the rich context of the current block and therefore is capable of improving the accuracy of predicting the current block.
no code implementations • COLING 2018 • Feng Jiang, Sheng Xu, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Guodong Zhou
In view of the differences between the annotations of micro and macro discourse rela-tionships, this paper describes the relevant experiments on the construction of the Macro Chinese Discourse Treebank (MCDTB), a higher-level Chinese discourse corpus.
no code implementations • COLING 2018 • Xiaomin Chu, Feng Jiang, Yi Zhou, Guodong Zhou, Qiaoming Zhu
Discourse parsing is a challenging task and plays a critical role in discourse analysis.
1 code implementation • 19 Jun 2018 • Wenxue Cui, Feng Jiang, Xinwei Gao, Wen Tao, Debin Zhao
In this paper, a Deep neural network based Sparse Measurement Matrix (DSMM) is learned by the proposed convolutional network to reduce the sampling computational complexity and improve the CS reconstruction performance.
1 code implementation • 13 Apr 2018 • Wenxue Cui, Heyao Xu, Xinwei Gao, Shengping Zhang, Feng Jiang, Debin Zhao
To address this problem, we propose a deep convolutional Laplacian Pyramid Compressed Sensing Network (LapCSNet) for CS, which consists of a sampling sub-network and a reconstruction sub-network.
Ranked #1 on Compressive Sensing on Set5
5 code implementations • 2 Aug 2017 • Feng Jiang, Wen Tao, Shaohui Liu, Jie Ren, Xun Guo, Debin Zhao
The second CNN, named reconstruction convolutional neural network (RecCNN), is used to reconstruct the decoded image with high-quality in the decoding end.
no code implementations • 22 Jul 2017 • Wuzhen Shi, Feng Jiang, Shengping Zhang, Debin Zhao
First of all, we train a sampling matrix via the network training instead of using a traditional manually designed one, which is much appropriate for our deep network based reconstruct process.
2 code implementations • 22 Jul 2017 • Wuzhen Shi, Feng Jiang, Debin Zhao
With the novel dilated convolution based inception module, the proposed end-to-end single image super-resolution network can take advantage of multi-scale information to improve image super-resolution performance.
Ranked #78 on Image Super-Resolution on Set14 - 4x upscaling
no code implementations • 29 Jan 2015 • Qi Guo, Bo-Wei Chen, Feng Jiang, Xiangyang Ji, Sun-Yuan Kung
Firstly, we divide the feature space into several subspaces using the decomposition method proposed in this paper.
no code implementations • 29 Apr 2014 • Jian Zhang, Debin Zhao, Feng Jiang, Wen Gao
Compressive Sensing (CS) theory shows that a signal can be decoded from many fewer measurements than suggested by the Nyquist sampling theory, when the signal is sparse in some domain.
no code implementations • 29 Apr 2014 • Jian Zhang, Debin Zhao, Feng Jiang
At the encoder, for each block of compressive sensing (CS) measurements, the optimal pre-diction is selected from a set of prediction candidates that are generated by four designed directional predictive modes.