Kun Qian

According to our database, Kun Qian authored at least 27 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

FISQL: Enhancing Text-to-SQL Systems with Rich Interactive Feedback.

Rakesh Menon, Kun Qian, Liqun Chen, Ishika Joshi, Daniel Pandyan, Shashank Srivastava, Yunyao Li

Proceedings of the Proceedings 28th International Conference on Extending Database Technology, 2025

2024

APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching.

Kun Qian, Yisi Sang, Farima Fatahi Bayat, Anton Belyi, Xianqi Chu, Yash Govind, Samira Khorshidi, Rahul Khot, Katherine Luna, Azadeh Nikfarjam, Xiaoguang Qi, Fei Wu, Xianhan Zhang, Yunyao Li

CoRR, 2024

Evaluation and Continual Improvement for an Enterprise AI Assistant.

Akash Maharaj, Kun Qian, Uttaran Bhattacharya, Sally Fang, Horia Galatanu, Manas Garg, Rachel Hanessian, Nishant Kapoor, Ken Russell, Shivakumar Vaithyanathan, Yunyao Li

CoRR, 2024

Time Sensitive Knowledge Editing through Efficient Finetuning.

Xiou Ge, Ali Mousavi, Edouard Grave, Armand Joulin, Kun Qian, Benjamin Han, Mostafa Arefiyan, Yunyao Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023

Open Domain Knowledge Extraction for Knowledge Graphs.

Kun Qian, Anton Belyi, Fei Wu, Samira Khorshidi, Azadeh Nikfarjam, Rahul Khot, Yisi Sang, Katherine Luna, Xianqi Chu, Eric Choi, Yash Govind, Chloe Seivwright, Yiwen Sun, Ahmed Fakhry, Theodoros Rekatsinas, Ihab F. Ilyas, Xiaoguang Qi, Yunyao Li

CoRR, 2023

FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge.

Farima Fatahi Bayat, Kun Qian, Benjamin Han, Yisi Sang, Anton Belyi, Samira Khorshidi, Fei Wu, Ihab F. Ilyas, Yunyao Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

Explainability for Natural Language Processing.

Marina Danilevsky, Shipi Dhanorkar, Yunyao Li, Lucian Popa, Kun Qian, Anbang Xu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

XNLP: A Living Survey for XAI Research in Natural Language Processing.

Kun Qian, Marina Danilevsky, Yannis Katsis, Ban Kawas, Erick Oduor, Lucian Popa, Yunyao Li

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle.

Shipi Dhanorkar, Christine T. Wolf, Kun Qian, Anbang Xu, Lucian Popa, Yunyao Li

Proceedings of the DIS '21: Designing Interactive Systems Conference 2021, 2021

2020

Learning Structured Representations of Entity Names using Active Learning and Weak Supervision.

Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa

CoRR, 2020

Ontology Mediated Information Extraction with MASTRO SYSTEM-T.

Domenico Lembo, Yunyao Li, Lucian Popa, Kun Qian, Federico Scafoglieri

Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 19th International Semantic Web Conference (ISWC 2020), 2020

An Intuitive User Interface for Human-in-the-loop Entity Name Parsing and Entity Variant Generation.

Kun Qian, Lucian Popa, Yunyao Li

Proceedings of the 1st Workshop on Data Science with Human in the Loop, 2020

XAIT: An Interactive Website for Explainable AI for Text.

Erick Oduor, Kun Qian, Yunyao Li, Lucian Popa

Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020

A Survey of the State of Explainable AI for Natural Language Processing.

Marina Danilevsky, Kun Qian, Ranit Aharonov, Yannis Katsis, Ban Kawas, Prithviraj Sen

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Learning Structured Representations of Entity Names using ActiveLearning and Weak Supervision.

Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning.

Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

SystemER: A Human-in-the-loop System for Explainable Entity Resolution.

Kun Qian, Lucian Popa, Prithviraj Sen

Proc. VLDB Endow., 2019

Learning Explainable Entity Resolution Algorithms for Small Business Data using SystemER.

Kun Qian, Douglas Burdick, Sairam Gurajada, Lucian Popa

Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, 2019

Learning-Based Methods with Human-in-the-Loop for Entity Resolution.

Sairam Gurajada, Lucian Popa, Kun Qian, Prithviraj Sen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Low-resource Deep Entity Resolution with Transfer and Active Learning.

Jungo Kasai, Kun Qian, Sairam Gurajada, Yunyao Li, Lucian Popa

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Knowledge Refinement via Rule Selection.

Phokion G. Kolaitis, Lucian Popa, Kun Qian

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Active Learning of GAV Schema Mappings.

Balder ten Cate, Phokion G. Kolaitis, Kun Qian, Wang-Chiew Tan

Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2018

LUSTRE: An Interactive System for Entity Structured Representation and Variant Generation.

Kun Qian, Nikita Bhutani, Yunyao Li, H. V. Jagadish, Mauricio A. Hernández

Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Exploiting Structure in Representation of Named Entities using Active Learning.

Nikita Bhutani, Kun Qian, Yunyao Li, H. V. Jagadish, Mauricio A. Hernández, Mitesh Vasa

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Discovering Information Integration Specifications From Data Examples.

Kun Qian

PhD thesis, 2017

Approximation Algorithms for Schema-Mapping Discovery from Data Examples.

Balder ten Cate, Phokion G. Kolaitis, Kun Qian, Wang-Chiew Tan

ACM Trans. Database Syst., 2017

Active Learning for Large-Scale Entity Resolution.

Kun Qian, Lucian Popa, Prithviraj Sen

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017