1 code implementation • NAACL 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao
To inherit the advantages of these two types of methods, we propose OPERA, an operation-pivoted discrete reasoning framework, where lightweight symbolic operations (compared with logical forms) as neural modules are utilized to facilitate the reasoning ability and interpretability.
1 code implementation • NAACL 2022 • Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu
Such training objective is sub-optimal when the target sequence is not perfect, e. g., when the target sequence is corrupted with noises, or when only weak sequence supervision is available.
no code implementations • 22 Aug 2023 • Yingyao Wang, Yongwei Zhou, Chaoqun Duan, Junwei Bao, Tiejun Zhao
To alleviate these challenges, we propose a self-iterative framework for multi-hop program generation (HopPG) over heterogeneous knowledge, which leverages the previous execution results to retrieve supporting facts and generate subsequent programs hop by hop.
no code implementations • 16 Jun 2023 • Yu Lu, Junwei Bao, Zichen Ma, Xiaoguang Han, Youzheng Wu, Shuguang Cui, Xiaodong He
High-quality data is essential for conversational recommendation systems and serves as the cornerstone of the network architecture development and training strategy design.
1 code implementation • 27 Nov 2022 • Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li
The pre-trained model can capture enriched visual concepts for images by learning from a large scale of text-image data.
Ranked #1 on
Semantic Segmentation
on PASCAL VOC
no code implementations • 10 Nov 2022 • Haoning Zhang, Junwei Bao, Haipeng Sun, Youzheng Wu, Wenye Li, Shuguang Cui, Xiaodong He
Then, the noised previous state is used as the input to learn to predict the current state, improving the model's ability to update and correct slot values.
no code implementations • 22 Oct 2022 • Junwei Bao, Yifan Wang, Jiangyong Ying, Yeyun Gong, Jing Zhao, Youzheng Wu, Xiaodong He
Conventional autoregressive left-to-right (L2R) sequence generation faces two issues during decoding: limited to unidirectional target sequence modeling, and constrained on strong local dependencies.
1 code implementation • 19 Oct 2022 • Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao
To preserve the advantage and eliminate the disadvantage of different granularity evidence, we propose MuGER$^2$, a Multi-Granularity Evidence Retrieval and Reasoning approach.
1 code implementation • 17 Oct 2022 • Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He
Traditional end-to-end task-oriented dialog systems first convert dialog context into belief state and action state before generating the system response.
1 code implementation • 15 Oct 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, Tiejun Zhao
Question answering requiring discrete reasoning, e. g., arithmetic computing, comparison, and counting, over knowledge is a challenging task.
no code implementations • 11 Oct 2022 • Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui
The unlabeled data of the DST task is incorporated into the self-training iterations, where the pseudo labels are predicted by a DST model trained on limited labeled data in advance.
no code implementations • 5 Oct 2022 • Boyu Hua, Haoran Ni, Qiuming Zhu, Cheng-Xiang Wang, Tongtong Zhou, Kai Mao, Junwei Bao, Xiaofei Zhang
Unmanned aerial vehicle (UAV)-to-ground (U2G) channel models play a pivotal role for reliable communications between UAV and ground terminal.
no code implementations • 19 Sep 2022 • Boyu Hua, Tongtong Zhou, Qiuming Zhu, Kai Mao, Junwei Bao, Weizhi Zhong, Naeem Ahmed
Considering the unmanned aerial vehicle (UAV) three-dimensional (3D) posture, a novel 3D non-stationary geometry-based stochastic model (GBSM) is proposed for multiple-input multiple-output (MIMO) UAV-to-vehicle (U2V) channels.
1 code implementation • 26 Aug 2022 • Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, Xiaodong He
This study investigates the task of knowledge-based question generation (KBQG).
1 code implementation • 1 Aug 2022 • Guangyi Liu, Zeyu Feng, Yuan Gao, Zichao Yang, Xiaodan Liang, Junwei Bao, Xiaodong He, Shuguang Cui, Zhen Li, Zhiting Hu
This paper proposes a new efficient approach for composable text operations in the compact latent space of text.
Ranked #2 on
Unsupervised Text Style Transfer
on Yelp
1 code implementation • Findings (NAACL) 2022 • Haipeng Sun, Junwei Bao, Youzheng Wu, Xiaodong He
To enhance the denoising capability of the model to reduce the impact of error propagation, denoising reconstruction is used to reconstruct the corrupted dialog state and response.
1 code implementation • NAACL 2022 • Yifan Wang, Jing Zhao, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He
Dialogue state tracking (DST) aims to predict the current dialogue state given the dialogue history.
no code implementations • 29 Apr 2022 • Yongwei Zhou, Junwei Bao, Chaoqun Duan, Haipeng Sun, Jiahui Liang, Yifan Wang, Jing Zhao, Youzheng Wu, Xiaodong He, Tiejun Zhao
To inherit the advantages of these two types of methods, we propose OPERA, an operation-pivoted discrete reasoning framework, where lightweight symbolic operations (compared with logical forms) as neural modules are utilized to facilitate the reasoning ability and interpretability.
no code implementations • 26 Mar 2022 • Sha Yuan, Hanyu Zhao, Shuai Zhao, Jiahong Leng, Yangxiao Liang, Xiaozhi Wang, Jifan Yu, Xin Lv, Zhou Shao, Jiaao He, Yankai Lin, Xu Han, Zhenghao Liu, Ning Ding, Yongming Rao, Yizhao Gao, Liang Zhang, Ming Ding, Cong Fang, Yisen Wang, Mingsheng Long, Jing Zhang, Yinpeng Dong, Tianyu Pang, Peng Cui, Lingxiao Huang, Zheng Liang, HuaWei Shen, HUI ZHANG, Quanshi Zhang, Qingxiu Dong, Zhixing Tan, Mingxuan Wang, Shuo Wang, Long Zhou, Haoran Li, Junwei Bao, Yingwei Pan, Weinan Zhang, Zhou Yu, Rui Yan, Chence Shi, Minghao Xu, Zuobai Zhang, Guoqiang Wang, Xiang Pan, Mengjie Li, Xiaoyu Chu, Zijun Yao, Fangwei Zhu, Shulin Cao, Weicheng Xue, Zixuan Ma, Zhengyan Zhang, Shengding Hu, Yujia Qin, Chaojun Xiao, Zheni Zeng, Ganqu Cui, Weize Chen, Weilin Zhao, Yuan YAO, Peng Li, Wenzhao Zheng, Wenliang Zhao, Ziyi Wang, Borui Zhang, Nanyi Fei, Anwen Hu, Zenan Ling, Haoyang Li, Boxi Cao, Xianpei Han, Weidong Zhan, Baobao Chang, Hao Sun, Jiawen Deng, Chujie Zheng, Juanzi Li, Lei Hou, Xigang Cao, Jidong Zhai, Zhiyuan Liu, Maosong Sun, Jiwen Lu, Zhiwu Lu, Qin Jin, Ruihua Song, Ji-Rong Wen, Zhouchen Lin, LiWei Wang, Hang Su, Jun Zhu, Zhifang Sui, Jiajun Zhang, Yang Liu, Xiaodong He, Minlie Huang, Jian Tang, Jie Tang
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm.
1 code implementation • ACL 2022 • Jing Zhao, Yifan Wang, Junwei Bao, Youzheng Wu, Xiaodong He
To confront this, we propose FCA, a fine- and coarse-granularity hybrid self-attention that reduces the computation cost through progressively shortening the computational sequence length in self-attention.
no code implementations • 27 Dec 2021 • Yuan YAO, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun
We argue that for general-purpose language intelligence evaluation, the benchmark itself needs to be comprehensive and systematic.
1 code implementation • Findings (EMNLP) 2021 • Jing Zhao, Junwei Bao, Yifan Wang, Yongwei Zhou, Youzheng Wu, Xiaodong He, BoWen Zhou
To address this problem, we propose RoR, a read-over-read method, which expands the reading field from chunk to document.
1 code implementation • 18 Aug 2021 • Jiahui Liang, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, BoWen Zhou
To address the problem, we propose CUSTOM, aspect-oriented product summarization for e-commerce, which generates diverse and controllable summaries towards different product aspects.
1 code implementation • 18 Aug 2021 • Yongwei Zhou, Junwei Bao, Haipeng Sun, Jiahui Liang, Youzheng Wu, Xiaodong He, BoWen Zhou, Tiejun Zhao
Reasoning machine reading comprehension (R-MRC) aims to answer complex questions that require discrete reasoning based on text.
1 code implementation • 29 Jun 2021 • Guangyi Liu, Zichao Yang, Tianhua Tao, Xiaodan Liang, Junwei Bao, Zhen Li, Xiaodong He, Shuguang Cui, Zhiting Hu
Such training objective is sub-optimal when the target sequence is not perfect, e. g., when the target sequence is corrupted with noises, or when only weak sequence supervision is available.
1 code implementation • Findings (ACL) 2021 • Yu Lu, Junwei Bao, Yan Song, Zichen Ma, Shuguang Cui, Youzheng Wu, Xiaodong He
Existing conversational recommendation (CR) systems usually suffer from insufficient item information when conducted on short dialogue history and unfamiliar items.
1 code implementation • NAACL 2021 • Jing Zhao, Junwei Bao, Yifan Wang, Youzheng Wu, Xiaodong He, BoWen Zhou
Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absent keyphrase which does not match any contiguous subsequence but is highly semantically related to the source.
no code implementations • COLING 2020 • Yingyao Wang, Junwei Bao, Guangyi Liu, Youzheng Wu, Xiaodong He, BoWen Zhou, Tiejun Zhao
This paper aims to enhance the few-shot relation classification especially for sentences that jointly describe multiple relations.
no code implementations • 29 May 2018 • Junwei Bao, Duyu Tang, Nan Duan, Zhao Yan, Yuanhua Lv, Ming Zhou, Tiejun Zhao
The model maps a row from a table to a continuous vector and then generates a natural language sentence by leveraging the semantics of a table.
no code implementations • 8 Jun 2017 • Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, Zhoujun Li
Understanding the connections between unstructured text and semi-structured table is an important yet neglected problem in natural language processing.
1 code implementation • COLING 2016 • Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, Tiejun Zhao
WebQuestions and SimpleQuestions are two benchmark data-sets commonly used in recent knowledge-based question answering (KBQA) work.