Zhong, Wanjun

9 publications

ICLRW 2025 AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tianyu Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Stephen Huang, Ge Zhang

AAAI 2025 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

AAAI 2025 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gaël Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

ICLR 2025 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

ICLRW 2025 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

ICLRW 2024 Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu

AAAI 2024 MemoryBank: Enhancing Large Language Models with Long-Term Memory Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang

NeurIPS 2022 LogiGAN: Learning Logical Reasoning via Adversarial Pre-Training Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou

IJCAI 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