Wanjun Zhong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
9
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models. | Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gal Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu |
| 2025 | AAAI | Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. | Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu |
| 2025 | ACL | Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst. | Hongru Wang, Deng Cai, Wanjun Zhong, Shijue Huang, Jeff Z. Pan, Zeming Liu, Kam-Fai Wong |
| 2025 | ICLR | 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 |
| 2024 | AAAI | MemoryBank: Enhancing Large Language Models with Long-Term Memory. | Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang |
| 2024 | ACL | Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. | Qiming Bao, Alex Yuxuan Peng, Zhenyun Deng, Wanjun Zhong, Gal Gendron, Timothy Pistotti, Neset Tan, Nathan Young, Yang Chen, Yonghua Zhu, Paul Denny, Michael Witbrock, Jiamou Liu |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EMNLP | CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. | Zexuan Qiu, Jingjing Li, Shijue Huang, Xiaoqi Jiao, Wanjun Zhong, Irwin King |
| 2024 | ICONIP | Assessing and Enhancing the Robustness of Large Language Models with Task Structure Variations for Logical Reasoning. | Qiming Bao, Gal Gendron, Alex Yuxuan Peng, Wanjun Zhong, Neset Tan, Yang Chen, Michael Witbrock, Jiamou Liu |
| 2024 | ISSTA | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ICIP | Leveraging Visual Prompts To Guide Language Modeling for Referring Video Object Segmentation. | Qiqi Gao, Wanjun Zhong, Jie Li, Tiejun Zhao |
| 2022 | ACL | 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 |
| 2022 | EMNLP | 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 |
| 2022 | IJCAI | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | Analytical Reasoning of Text. | Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Yining Chen, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan |
| 2021 | ACL | 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 |
| 2021 | ACL | 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 |
| 2021 | ACL | UserAdapter: Few-Shot User Learning in Sentiment Analysis. | Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan Duan |
| 2021 | EMNLP | WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. | Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan |
| 2020 | ACL | 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 |
| 2020 | ACL | Reasoning Over Semantic-Level Graph for Fact Checking. | Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |
| 2020 | EMNLP | 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 |
| 2020 | EMNLP | Neural Deepfake Detection with Factual Structure of Text. | Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin |