• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 204 matches

• 2024
• 
  Yushi Sun, Xin Hao, Kai Sun, Yifan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen:
  Are Large Language Models a Good Replacement of Taxonomies? Proc. VLDB Endow. 17(11): 2919-2932 (2024)
• 
  Zekun Li, Zhiyu Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
  Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. ACL (1) 2024: 8688-8704
• 
  Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Babak Damavandi, Xin Dong, Christos Faloutsos, Lei Li, Seungwhan Moon:
  SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. EMNLP (Findings) 2024: 247-266
• 
  Xin Luna Dong:
  Next-generation Intelligent Assistants for Wearable Devices. KDD 2024: 4735
• 
  Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar:
  Lumos: Empowering Multimodal LLMs with Scene Text Recognition. KDD 2024: 5690-5700
• 
  Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
  Head-to-Tail: How Knowledgeable are Large Language Models (LLMs)? A.K.A. Will LLMs Replace Knowledge Graphs? NAACL-HLT 2024: 311-325
• 
  Xin Luna Dong:
  The Journey to a Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). SIGMOD Conference Companion 2024: 3
• 
  Xin Luna Dong:
  The Journey to A Knowledgeable Assistant with Retrieval-Augmented Generation (RAG). WSDM 2024: 4
• 
  Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar:
  Lumos : Empowering Multimodal LLMs with Scene Text Recognition. CoRR abs/2402.08017 (2024)
• 
  Zekun Li, Zhiyu Zoey Chen, Mike Ross, Patrick Huber, Seungwhan Moon, Zhaojiang Lin, Xin Luna Dong, Adithya Sagar, Xifeng Yan, Paul A. Crook:
  Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. CoRR abs/2402.10466 (2024)
• 
  Jielin Qiu, Andrea Madotto, Zhaojiang Lin, Paul A. Crook, Yifan Ethan Xu, Xin Luna Dong, Christos Faloutsos, Lei Li, Babak Damavandi, Seungwhan Moon:
  SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. CoRR abs/2403.04735 (2024)
• 
  Xiao Yang, Kai Sun, Hao Xin, Yushi Sun, Nikita Bhalla, Xiangsen Chen, Sajal Choudhary, Rongze Daniel Gui, Ziran Will Jiang, Ziyu Jiang, Lingkun Kong, Brian Moran, Jiaqi Wang, Yifan Ethan Xu, An Yan, Chenyu Yang, Eting Yuan, Hanwen Zha, Nan Tang, Lei Chen, Nicolas Scheffer, Yue Liu, Nirav Shah, Rakesh Wanga, Anuj Kumar, Wen-tau Yih, Xin Luna Dong:
  CRAG - Comprehensive RAG Benchmark. CoRR abs/2406.04744 (2024)
• 
  Yushi Sun, Hao Xin, Kai Sun, Yifan Ethan Xu, Xiao Yang, Xin Luna Dong, Nan Tang, Lei Chen:
  Are Large Language Models a Good Replacement of Taxonomies? CoRR abs/2406.11131 (2024)
• 
  Filip Ilievski, Barbara Hammer, Frank van Harmelen, Benjamin Paassen, Sascha Saralajew, Ute Schmid, Michael Biehl, Marianna Bolognesi, Xin Luna Dong, Kiril Gashteovski, Pascal Hitzler, Giuseppe Marra, Pasquale Minervini, Martin Mundt, Axel-Cyrille Ngonga Ngomo, Alessandro Oltramari, Gabriella Pasi, Zeynep G. Saribatur, Luciano Serafini, John Shawe-Taylor, Vered Shwartz, Gabriella Skitalinskaya, Clemens Stachl, Gido M. van de Ven, Thomas Villmann:
  Aligning Generalisation Between Humans and Machines. CoRR abs/2411.15626 (2024)
• 
  Wang Bill Zhu, Deqing Fu, Kai Sun, Yi Lu, Zhaojiang Lin, Seungwhan Moon, Kanika Narang, Mustafa Canim, Yue Liu, Anuj Kumar, Xin Luna Dong:
  VisualLens: Personalization through Visual History. CoRR abs/2411.16034 (2024)
• 2023
• 
  Xin Luna Dong, Alon Y. Halevy, Shane Moon:
  Letter from the Special Issue Editor. IEEE Data Eng. Bull. 46(4): 3 (2023)
• 
  Xin Luna Dong:
  Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. Proc. VLDB Endow. 16(12): 4130-4137 (2023)
• 
  Felix Naumann, Xin Luna Dong:
  Editorial: Special Issue for Selected Papers of VLDB 2021. VLDB J. 32(6): 1163 (2023)
• 
  Kewei Cheng, Xian Li, Zhengyang Wang, Chenwei Zhang, Binxuan Huang, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
  Tab-Cleaner: Weakly Supervised Tabular Data Cleaning via Pre-training for E-commerce Catalog. ACL (industry) 2023: 172-185
• 
  Xin Luna Dong:
  Next-Generation Intelligent Assistants for AR/VR Devices. EGC 2023: 3-4
• 
  Xin Luna Dong, Seungwhan Moon, Yifan Ethan Xu, Kshitiz Malik, Zhou Yu:
  Towards Next-Generation Intelligent Assistants Leveraging LLM Techniques. KDD 2023: 5792-5793
• 
  Xin Luna Dong, Bo Li, Julia Stoyanovich, Anthony Kum Hoe Tung, Gerhard Weikum, Alon Y. Halevy, Wang-Chiew Tan:
  Personal Data for Personal Use: Vision or Reality? SIGMOD Conference Companion 2023: 263-264
• 
  Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
  Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658
• 
  Kai Sun, Yifan Ethan Xu, Hanwen Zha, Yue Liu, Xin Luna Dong:
  Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs? CoRR abs/2308.10168 (2023)
• 
  Xin Luna Dong:
  Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. CoRR abs/2308.14217 (2023)
• 2022
• 
  Vinay K. Chaudhri, Chaitanya K. Baru, Naren Chittar, Xin Luna Dong, Michael R. Genesereth, James A. Hendler, Aditya Kalyanpur, Douglas B. Lenat, Juan Sequeda, Denny Vrandecic, Kuansan Wang:
  Knowledge Graphs: Introduction, History and, Perspectives. AI Mag. 43(1): 17-29 (2022)
• 
  Daniel Abadi, Anastasia Ailamaki, David G. Andersen, Peter Bailis, Magdalena Balazinska, Philip A. Bernstein, Peter A. Boncz, Surajit Chaudhuri, Alvin Cheung, AnHai Doan, Luna Dong, Michael J. Franklin, Juliana Freire, Alon Y. Halevy, Joseph M. Hellerstein, Stratos Idreos, Donald Kossmann, Tim Kraska, Sailesh Krishnamurthy, Volker Markl, Sergey Melnik, Tova Milo, C. Mohan, Thomas Neumann, Beng Chin Ooi, Fatma Ozcan, Jignesh M. Patel, Andrew Pavlo, Raluca A. Popa, Raghu Ramakrishnan, Christopher Ré, Michael Stonebraker, Dan Suciu:
  The Seattle report on database research. Commun. ACM 65(8): 72-79 (2022)
• 
  Kewei Cheng, Xian Li, Yifan Ethan Xu, Xin Luna Dong, Yizhou Sun:
  PGE: Robust Product Graph Embedding Learning for Error Detection. Proc. VLDB Endow. 15(6): 1288-1296 (2022)
• 
  K. Selçuk Candan, Huan Liu, Leman Akoglu, Xin Luna Dong, Jiliang Tang, Andrew Tomkins:
  ACM WSDM 2022 report. SIGWEB Newsl. 2022(Summer): 1:1-1:6 (2022)
• 
  Xin Luna Dong:
  Next-Generation Intelligent Assistants for AR/VR Devices. KaRS@RecSys 2022

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