Wanjun Zhong

According to our database, Wanjun Zhong authored at least 50 papers between 2019 and 2024.

Collaborative distances:

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

2024

CLUE: Contrastive language-guided learning for referring video object segmentation.

Qiqi Gao, Wanjun Zhong, Jie Li, Tiejun Zhao

Pattern Recognit. Lett., 2024

Agents in Software Engineering: Survey, Landscape, and Vision.

Yanlin Wang, Wanjun Zhong, Yanxian Huang, Ensheng Shi, Min Yang, Jiachi Chen, Hui Li, Yuchi Ma, Qianxiang Wang, Zibin Zheng

CoRR, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.

Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin King

CoRR, 2024

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.

Yiming Du, Hongru Wang, Zhengyi Zhao, Bin Liang, Baojun Wang, Wanjun Zhong, Zezhong Wang, Kam-Fai Wong

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2024

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

Wanjun Zhong, Ruixiang Cui, Yiduo Guo, Yaobo Liang, Shuai Lu, Yanlin Wang, Amin Saied, Weizhu Chen, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.

Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models.

Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Concise and Precise Context Compression for Tool-Using Language Models.

Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Learning to Edit: Aligning LLMs with Knowledge Editing.

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

MemoryBank: Enhancing Large Language Models with Long-Term Memory.

Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving task generalization via unified schema prompt.

Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

AI Open, January, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.

Jiahui Gao, Renjie Pi, Jipeng Zhang, Jiacheng Ye, Wanjun Zhong, Yufei Wang, Lanqing Hong, Jianhua Han, Hang Xu, Zhenguo Li, Lingpeng Kong

CoRR, 2023

Data Management For Large Language Models: A Survey.

Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks.

Qiming Bao, Gaël Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu

CoRR, 2023

Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning.

Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai Wang

CoRR, 2023

SELF: Language-Driven Self-Evolution for Large Language Model.

Jianqiao Lu, Wanjun Zhong, Wenyong Huang, Yufei Wang, Fei Mi, Baojun Wang, Weichao Wang, Lifeng Shang, Qun Liu

CoRR, 2023

Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.

Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Tim Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

CoRR, 2023

Aligning Large Language Models with Human: A Survey.

Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

GroundNLQ @ Ego4D Natural Language Queries Challenge 2023.

Zhijian Hou, Lei Ji, Difei Gao, Wanjun Zhong, Kun Yan, Chao Li, Wing-Kwong Chan, Chong-Wah Ngo, Nan Duan, Mike Zheng Shou

CoRR, 2023

Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text.

Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Michael Witbrock, Jiamou Liu

CoRR, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.

Yanlin Wang, Lianghong Guo, Ensheng Shi, Wenqing Chen, Jiachi Chen, Wanjun Zhong, Menghan Wang, Hui Li, Hongyu Zhang, Ziyu Lyu, Zibin Zheng

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Cross-Modal-Aware Representation Learning with Syntactic Hypergraph Convolutional Network for VideoQA.

Zenan Xu, Wanjun Zhong, Qinliang Su, Fuwei Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation.

Qiqi Gao, Wanjun Zhong, Jie Li, Tiejun Zhao

Proceedings of the IEEE International Conference on Image Processing, 2023

Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers.

Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding.

Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Mike Zheng Shou, Nan Duan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

From LSAT: The Progress and Challenges of Complex Reasoning.

Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan Duan

IEEE ACM Trans. Audio Speech Lang. Process., 2022

An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022.

Zhijian Hou, Wanjun Zhong, Lei Ji, Difei Gao, Kun Yan, Wing Kwong Chan, Chong-Wah Ngo, Zheng Shou, Nan Duan

CoRR, 2022

Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering.

Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang

CoRR, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA.

Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

CoRR, 2022

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training.

Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Analytical Reasoning of Text.

Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ProQA: Structural Prompt-based Pre-training for Unified Question Answering.

Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering.

Wanjun Zhong, Junjie Huang, Qian Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA.

Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text.

Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

AR-LSAT: Investigating Analytical Reasoning of Text.

Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan

CoRR, 2021

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach.

Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

UserAdapter: Few-Shot User Learning in Sentiment Analysis.

Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Syntax-Enhanced Pre-trained Model.

Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge.

Linmei Hu, Tianchi Yang, Luhao Zhang, Wanjun Zhong, Duyu Tang, Chuan Shi, Nan Duan, Ming Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts.

Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin

CoRR, 2020

Neural Deepfake Detection with Factual Structure of Text.

Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin

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

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection.

Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou

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

Reasoning Over Semantic-Level Graph for Fact Checking.

Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.

Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Question Answering by Commonsense-Based Pre-training.

Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin

Proceedings of the Natural Language Processing and Chinese Computing, 2019