Linqing Liu - RankMe

30 papers A* 3C 1Journal 16Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Self-attention Mechanism at the Token Level: Gradient Analysis and Algorithm Optimization. Knowl. Based Syst. Linqing Liu, Xiaolong Xu
2023	—	`conf`	What the DAAM: Interpreting Stable Diffusion Using Cross Attention. ACL (1) Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture
2022	—	`conf`	Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2022	J	`jnl`	Multi-Timescale Load Forecast of Large Power Customers Based on Online Data Recovery and Time Series Neural Networks. J. Circuits Syst. Comput. Xiaotian Wang, Zihe Duan, Linqing Liu, Mengyu Li, Yagang An, Yang Zhou
2022	J	`jnl`	Query Expansion Using Contextual Clue Sampling with Language Models. CoRR Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp
2022	J	`jnl`	Questions for Flat-Minima Optimization of Modern Neural Networks. CoRR Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner
2022	A*	`conf`	When Do Flat Minima Optimizers Work? NeurIPS Jean Kaddour, Linqing Liu, Ricardo Silva, Matt J. Kusner
2021	J	`jnl`	Challenges in Generalization in Open Domain Question Answering. CoRR Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp
2021	—	`conf`	Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
2021	J	`jnl`	Controllable Abstractive Dialogue Summarization with Sketch Supervision. CoRR Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong
2021	J	`jnl`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2021	J	`jnl`	PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
2019	A*	`conf`	A Multi-Task Learning Framework for Abstractive Text Summarization. AAAI Yao Lu, Linqing Liu, Zhile Jiang, Min Yang, Randy Goebel
2019	J	`jnl`	Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong
2019	—	`conf`	Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling. EMNLP/IJCNLP (1) Jinfeng Rao, Linqing Liu, Yi Tay, Hsiu-Wei Yang, Peng Shi, Jimmy Lin
2019	J	`jnl`	DNLC: differential network local consistency analysis. BMC Bioinform. Jianwei Lu, Yao Lu, Yusheng Ding, Qingyang Xiao, Linqing Liu, Qingpo Cai, Yunchuan Kong, Yun Bai, Tianwei Yu
2019	J	`jnl`	Distilling Task-Specific Knowledge from BERT into Simple Neural Networks. CoRR Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin
2019	—	`conf`	Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling. EMNLP/IJCNLP (1) Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin
2019	—	`conf`	Scalable Content-Based Analysis of Images in Web Archives with TensorFlow and the Archives Unleashed Toolkit. JCDL Hsiu-Wei Yang, Linqing Liu, Ian Milligan, Nick Ruest, Jimmy Lin
2018	A*	`conf`	Generative Adversarial Network for Abstractive Text Summarization. AAAI Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li
2017	J	`jnl`	Generative Adversarial Network for Abstractive Text Summarization. CoRR Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li
2017	—	`conf`	The evolution of business model research (1993-2016): based on a co-word and maximum spanning tree analysis. ISSI Linqing Liu, Chang Tan, Wen Chen, Yiyang Lu
2016	J	`jnl`	Detecting "Smart" Spammers On Social Network: A Topic Model Approach. CoRR Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016	—	`conf`	Detecting "Smart" Spammers on Social Network: A Topic Model Approach. SRW@HLT-NAACL Linqing Liu, Yao Lu, Ye Luo, Renxian Zhang, Laurent Itti, Jianwei Lu
2016	J	`jnl`	Visualizing the GVC research: a co-occurrence network based bibliometric analysis. Scientometrics Linqing Liu, Shiye Mei
2015	J	`jnl`	How can an indigenous concept enter the international academic circle: the case of guanxi. Scientometrics Linqing Liu, Shiye Mei
2010	—	`conf`	Testing as a Service over Cloud. SOSE Lian Yu, Wei-Tek Tsai, Xiangji Chen, Linqing Liu, Yan Zhao, Liangjie Tang, Wei Zhao
2001	C	`conf`	Multicast for Small Conferences. ISCC Torsten Braun, Linqing Liu