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ORCIDQingkai Zeng 0001
Person information
- affiliation: University of Notre Dame, Notre Dame, IN, USA
Other persons with the same name
- Qingkai Zeng — disambiguation page
- Qingkai Zeng 0002
![[0000-0002-0610-1553]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0610-1553")
— Nanjing University, Nanjing, China
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Journal Articles
- 2021
[j2]Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang:
Biomedical Knowledge Graphs Construction From Conditional Statements. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 823-835 (2021)- [j1]Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang:
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding. ACM Trans. Intell. Syst. Technol. 12(4): 42:1-42:25 (2021)
Conference and Workshop Papers
- 2025
- [c24]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang:
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. ACL (Findings) 2025: 4131-4144 - [c23]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. ACL (1) 2025: 21602-21623 - [c22]Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang:
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. NAACL (Long Papers) 2025: 4105-4135 - 2024
- [c21]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang:
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CIKM 2024: 3093-3102 - [c20]Yifan Ding, Qingkai Zeng, Tim Weninger:
ChatEL: Entity Linking with Chatbots. LREC/COLING 2024: 3086-3097 - [c19]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. EMNLP 2024: 6476-6491 - [c18]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Large Language Models Can Self-Correct with Key Condition Verification. EMNLP 2024: 12846-12867 - 2023
- [c17]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. EMNLP (Findings) 2023: 9850-9867 - 2022
- [c16]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. KDD 2022: 2946-2956 - 2021
- [c15]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang:
Validating Label Consistency in NER Data Annotation. Eval4NLP 2021: 11-15 - [c14]Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. ICSE 2021: 324-335 - [c13]Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. KDD 2021: 2104-2113 - [c12]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang:
Technical Question Answering across Tasks and Domains. NAACL-HLT (Industry Papers) 2021: 178-186 - [c11]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Enhancing Factual Consistency of Abstractive Summarization. NAACL-HLT 2021: 718-733 - 2020
- [c10]Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. ACL 2020: 5635-5641 - [c9]Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Güven, Meng Jiang:
A Technical Question Answering System with Transfer Learning. EMNLP (Demos) 2020: 92-99 - [c8]Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER. EMNLP (Findings) 2020: 4778-4787 - [c7]Yalin Liu, Jinfeng Lin, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Towards Semantically Guided Traceability. RE 2020: 328-333 - [c6]Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang:
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning. WWW 2020: 951-961 - 2019
- [c5]Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang:
Through the eyes of a poet: classical poetry recommendation with visual input on social media. ASONAM 2019: 333-340 - [c4]Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang:
A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography. EYRE@CIKM 2019: 8-15 - [c3]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang:
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method. TextGraphs@EMNLP 2019: 140-150 - [c2]Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang:
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System. WWW 2019: 3615-3619 - 2018
- [c1]Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla:
Multi-Type Itemset Embedding for Learning Behavior Success. KDD 2018: 2397-2406
Informal and Other Publications
- 2025
- [i24]Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang:
Can Large Language Models Understand Preferences in Personalized Recommendation? CoRR abs/2501.13391 (2025) - [i23]Bo Ni, Zheyuan Liu, Leyao Wang, Yongjia Lei, Yuying Zhao, Xueqi Cheng, Qingkai Zeng, Luna Dong, Yinglong Xia, Krishnaram Kenthapadi, Ryan A. Rossi, Franck Dernoncourt, Md. Mehrab Tanjim, Nesreen K. Ahmed, Xiaorui Liu, Wenqi Fan, Erik Blasch, Yu Wang, Meng Jiang, Tyler Derr:
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey. CoRR abs/2502.06872 (2025) - [i22]Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye:
Graph Foundation Models: A Comprehensive Survey. CoRR abs/2505.15116 (2025) - [i21]Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng:
From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization. CoRR abs/2509.23767 (2025) - [i20]Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng:
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning. CoRR abs/2510.02341 (2025) - [i19]Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng:
Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning. CoRR abs/2510.15191 (2025) - [i18]Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang:
Instant Personalized Large Language Model Adaptation via Hypernetwork. CoRR abs/2510.16282 (2025) - 2024
- [i17]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. CoRR abs/2402.04401 (2024) - [i16]Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya:
EntGPT: Linking Generative Large Language Models with Knowledge Bases. CoRR abs/2402.06738 (2024) - [i15]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang:
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples. CoRR abs/2402.07386 (2024) - [i14]Yifan Ding, Qingkai Zeng, Tim Weninger:
ChatEL: Entity Linking with Chatbots. CoRR abs/2402.14858 (2024) - [i13]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Large Language Models Can Self-Correct with Minimal Effort. CoRR abs/2405.14092 (2024) - [i12]Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang:
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts. CoRR abs/2408.09070 (2024) - [i11]Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang:
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction. CoRR abs/2410.12934 (2024) - [i10]Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang:
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench. CoRR abs/2410.22108 (2024) - 2023
- [i9]Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang:
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. CoRR abs/2310.13127 (2023) - 2022
- [i8]Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu:
Automatic Controllable Product Copywriting for E-Commerce. CoRR abs/2206.10103 (2022) - [i7]Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data. CoRR abs/2207.01084 (2022) - 2021
- [i6]Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang:
Validating Label Consistency in NER Data Annotation. CoRR abs/2101.08698 (2021) - [i5]Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang:
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models. CoRR abs/2102.04411 (2021) - [i4]Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang:
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations. CoRR abs/2106.02974 (2021) - 2020
- [i3]Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang:
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph. CoRR abs/2003.08612 (2020) - [i2]Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang:
Crossing Variational Autoencoders for Answer Retrieval. CoRR abs/2005.02557 (2020) - [i1]Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang:
Technical Question Answering across Tasks and Domains. CoRR abs/2010.09780 (2020)
Coauthor Index
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