Bang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 120

Top Venues

Publications

Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Wenyi Wang, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zongze Xu, Chenglin Wu
Data Interpreter: An LLM Agent For Data Science. CoRR (2024)
Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. ACL (Findings) (2024)
Xiaoqiang Wang, Bang Liu, Lingfei Wu
E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition. CoRR (2024)
Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR (2024)
Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio
VCR: Visual Caption Restoration. CoRR (2024)
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
Resonance RoPE: Improving Context Length Generalization of Large Language Models. CoRR (2024)
Yuyan Chen, Yanghua Xiao, Zhixu Li, Bang Liu
XMQAs: Constructing Complex-Modified Question-Answering Dataset for Robust Question Understanding. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Zhibin Gao, Gaoyu Luo, Shanhao Zhan, Bang Liu, Lianfen Huang, Han-Chieh Chao
ST-HO: Symmetry-Enhanced Energy-Efficient DAG Task Offloading Algorithm in Intelligent Transport System. Symmetry 16 (2) (2024)
Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. CoRR (2024)
Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Large Language Model-Powered Framework for Embodied Instruction Following. AAMAS (2024)
Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen
Can Pre-trained Language Models Understand Chinese Humor? CoRR (2024)
Yuyan Chen, Yichen Yuan, Panjun Liu, Dayiheng Liu, Qinghao Guan, Mengfei Guo, Haiming Peng, Bang Liu, Zhixu Li, Yanghua Xiao
Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor Interpretation. AAAI (2024)
Florian Carichon, Chrys Ngouma, Bang Liu, Gilles Caporossi
Objective and neutral summarization of customer reviews. Expert Syst. Appl. 255 (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. ACL (1) (2024)
Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR (2024)
Haochen Shi, Zhiyuan Sun, Xingdi Yuan, Marc-Alexandre Côté, Bang Liu
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following. CoRR (2024)
Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR (2024)
Wei Zhou, Hong Huang, Guowen Zhang, Ruize Shi, Kehan Yin, Yuanyuan Lin, Bang Liu
OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework. CoRR (2024)
Suyuchen Wang, Ivan Kobyzev, Peng Lu, Mehdi Rezagholizadeh, Bang Liu
Resonance RoPE: Improving Context Length Generalization of Large Language Models. ACL (Findings) (2024)
Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
Enhancing Agent Learning through World Dynamics Modeling. CoRR (2024)
Yu Song, Santiago Miret, Huan Zhang, Bang Liu
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. CoRR (2023)
Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP (Findings) (2023)
Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao
Search-Oriented Conversational Query Editing. ACL (Findings) (2023)
Yuyan Chen, Zhixu Li, Jiaqing Liang, Yanghua Xiao, Bang Liu, Yunwen Chen
Can Pre-trained Language Models Understand Chinese Humor? WSDM (2023)
Zhong Zhang, Bang Liu, Junming Shao
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. ACL (1) (2023)
Hossein Rajabzadeh, Suyuchen Wang, Hyock Ju Kwon, Bang Liu
Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models. CoRR (2023)
Shufeng Zhang, Yuxi Chen, Weizhen Liu, Bang Liu, Xiang Zhou
Marbling-Net: A Novel Intelligent Framework for Pork Marbling Segmentation Using Images from Smartphones. Sensors 23 (11) (2023)
Wangjie Jiang, Zhihao Ye, Bang Liu, Ruihui Zhao, Jianguang Zheng, Mengyao Li, Zhiyong Li, Yujiu Yang, Yefeng Zheng
ICA-Proto: Iterative Cross Alignment Prototypical Network for Incremental Few-Shot Relation Classification. EACL (Findings) (2023)
Zhong Zhang, Bang Liu, Junming Shao
Fine-tuning Happens in Tiny Subspaces: Exploring Intrinsic Task-specific Subspaces of Pre-trained Language Models. CoRR (2023)
Yu Song, Santiago Miret, Bang Liu
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. CoRR (2023)
Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev
Efficient Classification of Long Documents via State-Space Models. EMNLP (2023)
Yu Song, Santiago Miret, Huan Zhang, Bang Liu
HoneyBee: Progressive Instruction Finetuning of Large Language Models for Materials Science. EMNLP (Findings) (2023)
Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao
Learning Denoised and Interpretable Session Representation for Conversational Search. WWW (2023)
Sifan Wu, Ruihui Zhao, Yefeng Zheng, Jian Pei, Bang Liu
Identify Event Causality with Knowledge and Analogy. AAAI (2023)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. ACL (Findings) (2023)
Yu Song, Santiago Miret, Bang Liu
MatSci-NLP: Evaluating Scientific Language Models on Materials Science Language Tasks Using Text-to-Schema Modeling. ACL (1) (2023)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
SkillQG: Learning to Generate Question for Reading Comprehension Assessment. CoRR (2023)
Dekun Wu, Haochen Shi, Zhiyuan Sun, Bang Liu
Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games. CoRR (2023)
Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV (2023)
Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li, Yanghua Xiao
Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph. DASFAA (1) (2022)
Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR (2022)
Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu
Factorizing Historical User Actions for Next-Day Purchase Prediction. ACM Trans. Web 16 (1) (2022)
Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. CoRR (2022)
Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) (2022)
Suyuchen Wang, Ruihui Zhao, Yefeng Zheng, Bang Liu
QEN: Applicable Taxonomy Completion via Evaluating Full Taxonomic Relations. WWW (2022)
Ailisi Li, Xueyao Jiang, Bang Liu, Jiaqing Liang, Yanghua Xiao
Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning. CoRR (2022)
Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. CoRR (2022)
Martin Weyssow, Houari A. Sahraoui, Bang Liu
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. ICSE (NIER) (2022)
Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CoRR (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. CoRR (2022)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. CoRR (2022)
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Bang Liu, Siheng Li, Yujiu Yang, Yefeng Zheng
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CIKM (2022)
Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. ICDE (2022)
Yuyan Chen, Yanghua Xiao, Bang Liu
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. CoRR (2022)
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenhua Lin, Yefeng Zheng, Bang Liu
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. ICDE (2022)
Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. CVPR (2022)
Yuyan Chen, Yanghua Xiao, Bang Liu
Grow-and-Clip: Informative-yet-Concise Evidence Distillation for Answer Explanation. ICDE (2022)
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. KDD (2022)
Xiaoqiang Wang, Bang Liu, Fangli Xu, Bo Long, Siliang Tang, Lingfei Wu
Feeding What You Need by Understanding What You Learned. ACL (1) (2022)
Qianren Mao, Xi Li, Bang Liu, Shu Guo, Peng Hao, Jianxin Li, Lihong Wang
Attend and select: A segment selective transformer for microblog hashtag generation. Knowl. Based Syst. 254 (2022)
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance. EMNLP (2022)
Martin Weyssow, Houari A. Sahraoui, Bang Liu
Better Modeling the Programming World with Code Concept Graphs-augmented Multi-modal Learning. CoRR (2022)
Junyang Huang, Xuantao Lu, Jiaqing Liang, Qiaoben Bao, Chen Huang, Yanghua Xiao, Bang Liu, Yunwen Chen
Knowing What I Don't Know: A Generation Assisted Rejection Framework in Knowledge Base Question Answering. DASFAA (3) (2022)
Zong-Kai Liu, Li-Hua Zhang, Bang Liu, Zheng-Yuan Zhang, Guang-Can Guo, Dong-Sheng Ding, Baosen Shi
Deep learning enhanced Rydberg multifrequency microwave recognition. CoRR (2022)
Wangjie Jiang, Zhihao Ye, Zijing Ou, Ruihui Zhao, Jianguang Zheng, Yi Liu, Siheng Li, Bang Liu, Yujiu Yang, Yefeng Zheng
MCSCSet: A Specialist-annotated Dataset for Medical-domain Chinese Spelling Correction. CoRR (2022)
Yi Cheng, Wenge Liu, Wenjie Li, Jiashuo Wang, Ruihui Zhao, Bang Liu, Xiaodan Liang, Yefeng Zheng
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. EMNLP (2022)
Shengyao Lu, Bang Liu, Keith G Mills, Shangling Jui, Di Niu
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR (2022)
Qianren Mao, Xi Li, Hao Peng, Bang Liu, Shu Guo, Jianxin Li, Lihong Wang, Philip S. Yu
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. ACL/IJCNLP (1) (2021)
Tong Mo, Bang Liu
Encoder-Decoder Neural Architecture Optimization for Keyword Spotting. CoRR (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR (2021)
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. ACL/IJCNLP (1) (2021)
Jiayuan Ding, Tong Xiang, Zijing Ou, Wangyang Zuo, Ruihui Zhao, Chenghua Lin, Yefeng Zheng, Bang Liu
Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. CoRR (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. ACL/IJCNLP (Findings) (2021)
Lingfei Wu, Yu Chen, Heng Ji, Bang Liu
Deep Learning on Graphs for Natural Language Processing. KDD (2021)
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. 66 (2021)
Lingfei Wu, Yu Chen, Heng Ji, Bang Liu
Deep Learning on Graphs for Natural Language Processing. SIGIR (2021)
Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. WWW (2021)
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. NAACL-HLT (2021)
Yi Cheng, Siyao Li, Bang Liu, Ruihui Zhao, Sujian Li, Chenghua Lin, Yefeng Zheng
Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting. CoRR (2021)
Zhexue Chen, Hong Huang, Bang Liu, Xuanhua Shi, Hai Jin
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction. CoRR (2021)
Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. CoRR (2021)
Zhengxu Hou, Bang Liu, Ruihui Zhao, Zijing Ou, Yafei Liu, Xi Chen, Yefeng Zheng
Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management. CoRR (2021)
Junnan Liu, Qianren Mao, Bang Liu, Hao Peng, Hongdong Zhu, Jianxin Li
Noised Consistency Training for Text Summarization. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval. CoRR (2021)
Suyuchen Wang, Ruihui Zhao, Xi Chen, Yefeng Zheng, Bang Liu
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion. CoRR (2021)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization. EMNLP (Findings) (2021)
Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS (2021)
Zhipeng Cheng, Ning Chen, Bang Liu, Zhibin Gao, Lianfen Huang, Xiaojiang Du, Mohsen Guizani
Joint user association and resource allocation in HetNets based on user mobility prediction. Comput. Networks 177 (2020)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW (2020)
Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
GIANT: Scalable Creation of a Web-scale Ontology. CoRR (2020)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR (2020)
Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu
Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu
GIANT: Scalable Creation of a Web-scale Ontology. SIGMOD Conference (2020)
Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR (2020)
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bang Liu