Qingkai Zeng

50 papers A* 9A 2B 1Journal 26Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can Large Language Models Understand Preferences in Personalized Recommendation?
CoRR
Zhaoxuan Tan, Zinan Zeng, Qingkai Zeng, Zhenyu Wu, Zheyuan Liu, Fengran Mo, Meng Jiang
2025 — conf
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.
ACL (Findings)
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang
2025 J jnl
DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning.
CoRR
Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng
2025 — conf
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.
ACL (1)
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2025 J jnl
From Personal to Collective: On the Role of Local and Global Memory in LLM Personalization.
CoRR
Zehong Wang, Junlin Wu, Zhaoxuan Tan, Bolian Li, Xianrui Zhong, Zheli Liu, Qingkai Zeng
2025 J jnl
Graph Foundation Models: A Comprehensive Survey.
CoRR
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
2025 J jnl
Instant Personalized Large Language Model Adaptation via Hypernetwork.
CoRR
Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang
2025 — conf
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench.
NAACL (Long Papers)
Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang
2025 J jnl
Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning.
CoRR
Junlin Wu, Xianrui Zhong, Jiashuo Sun, Bolian Li, Bowen Jin, Jiawei Han, Qingkai Zeng
2025 J jnl
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey.
CoRR
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
2024 A conf
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CIKM
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 J jnl
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CoRR
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 — conf
ChatEL: Entity Linking with Chatbots.
LREC/COLING
Yifan Ding, Qingkai Zeng, Tim Weninger
2024 J jnl
ChatEL: Entity Linking with Chatbots.
CoRR
Yifan Ding, Qingkai Zeng, Tim Weninger
2024 J jnl
CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.
CoRR
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Zhenyu Wu, Shangbin Feng, Meng Jiang
2024 A* conf
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
EMNLP
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024 J jnl
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
CoRR
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024 J jnl
Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.
CoRR
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 J jnl
EntGPT: Linking Generative Large Language Models with Knowledge Bases.
CoRR
Yifan Ding, Amrit Poudel, Qingkai Zeng, Tim Weninger, Balaji Veeramani, Sanmitra Bhattacharya
2024 A* conf
Large Language Models Can Self-Correct with Key Condition Verification.
EMNLP
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 J jnl
Large Language Models Can Self-Correct with Minimal Effort.
CoRR
Zhenyu Wu, Qingkai Zeng, Zhihan Zhang, Zhaoxuan Tan, Chao Shen, Meng Jiang
2024 J jnl
Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench.
CoRR
Zheyuan Liu, Guangyao Dou, Mengzhao Jia, Zhaoxuan Tan, Qingkai Zeng, Yongle Yuan, Meng Jiang
2023 — conf
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
EMNLP (Findings)
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2023 J jnl
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.
CoRR
Zhihan Zhang, Shuohang Wang, Wenhao Yu, Yichong Xu, Dan Iter, Qingkai Zeng, Yang Liu, Chenguang Zhu, Meng Jiang
2022 A* conf
Automatic Controllable Product Copywriting for E-Commerce.
KDD
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
2022 J jnl
Automatic Controllable Product Copywriting for E-Commerce.
CoRR
Xiaojie Guo, Qingkai Zeng, Meng Jiang, Yun Xiao, Bo Long, Lingfei Wu
2022 J jnl
Enhancing Automated Software Traceability by Transfer Learning from Open-World Data.
CoRR
Jinfeng Lin, Amrit Poudel, Wenhao Yu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
2021 J jnl
Biomedical Knowledge Graphs Construction From Conditional Statements.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang
2021 — conf
Enhancing Factual Consistency of Abstractive Summarization.
NAACL-HLT
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
2021 A* conf
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
KDD
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
2021 J jnl
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.
CoRR
Qingkai Zeng, Jinfeng Lin, Wenhao Yu, Jane Cleland-Huang, Meng Jiang
2021 J jnl
Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.
ACM Trans. Intell. Syst. Technol.
Daheng Wang, Qingkai Zeng, Nitesh V. Chawla, Meng Jiang
2021 — conf
Technical Question Answering across Tasks and Domains.
NAACL-HLT (Industry Papers)
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang
2021 A* conf
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models.
ICSE
Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
2021 J jnl
Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models.
CoRR
Jinfeng Lin, Yalin Liu, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
2021 — conf
Validating Label Consistency in NER Data Annotation.
Eval4NLP
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Meng Jiang
2021 J jnl
Validating Label Consistency in NER Data Annotation.
CoRR
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
2020 — conf
A Technical Question Answering System with Transfer Learning.
EMNLP (Demos)
Wenhao Yu, Lingfei Wu, Yu Deng, Ruchi Mahindru, Qingkai Zeng, Sinem Güven, Meng Jiang
2020 J jnl
Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.
CoRR
Chenguang Zhu, William Hinthorn, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang
2020 A* conf
Crossing Variational Autoencoders for Answer Retrieval.
ACL
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Shu Tao, Yu Deng, Meng Jiang
2020 J jnl
Crossing Variational Autoencoders for Answer Retrieval.
CoRR
Wenhao Yu, Lingfei Wu, Qingkai Zeng, Yu Deng, Shu Tao, Meng Jiang
2020 A* conf
Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning.
WWW
Wenhao Yu, Wei Peng, Yu Shu, Qingkai Zeng, Meng Jiang
2020 J jnl
Technical Question Answering across Tasks and Domains.
CoRR
Wenhao Yu, Lingfei Wu, Yu Deng, Qingkai Zeng, Ruchi Mahindru, Sinem Güven, Meng Jiang
2020 A conf
Towards Semantically Guided Traceability.
RE
Yalin Liu, Jinfeng Lin, Qingkai Zeng, Meng Jiang, Jane Cleland-Huang
2020 — conf
Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.
EMNLP (Findings)
Qingkai Zeng, Wenhao Yu, Mengxia Yu, Tianwen Jiang, Tim Weninger, Meng Jiang
2019 — conf
A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography.
EYRE@CIKM
Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang
2019 — conf
Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.
TextGraphs@EMNLP
Qingkai Zeng, Mengxia Yu, Wenhao Yu, Jinjun Xiong, Yiyu Shi, Meng Jiang
2019 A* conf
Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System.
WWW
Wenhao Yu, Zongze Li, Qingkai Zeng, Meng Jiang
2019 B conf
Through the eyes of a poet: classical poetry recommendation with visual input on social media.
ASONAM
Daniel Yue Zhang, Bo Ni, Qiyu Zhi, Thomas Plummer, Qi Li, Hao Zheng, Qingkai Zeng, Yang Zhang, Dong Wang
2018 A* conf
Multi-Type Itemset Embedding for Learning Behavior Success.
KDD
Daheng Wang, Meng Jiang, Qingkai Zeng, Zachary Eberhart, Nitesh V. Chawla