📝 Publications
Works in Seed
Seed Technical ReportSeed1.5-VL Technical ReportSeed Technical ReportSeed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement LearningSeed Technical ReportUI-TARS: Pioneering Automated GUI Interaction with Native AgentsSub. to NeurIPS 2025Retool: Reinforcement learning for strategic tool use in llms, Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun ZhongArxivAutokaggle: A multi-agent framework for autonomous data science competitions, Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tuney Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Wenhao Huang, Ge ZhangEMNLP 2025Otc: Optimal tool calls via reinforcement learning, Hongru Wang, Cheng Qian, Wanjun Zhong, Xiusi Chen, Jiahao Qiu, Shijue Huang, Bowen Jin, Mengdi Wang, Kam-Fai Wong, Heng Ji
Large Language Model Reasoning
Seed Technical ReportSeed-Thinking-v1.5: Advancing Superb Reasoning Models with Reinforcement LearningICLR 2025G-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 KongACL 2025Self-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 WongInformation Processing & ManagementAdaptive-solver framework for dynamic strategy selection in large language model reasoning, Jianpeng Zhou, Wanjun Zhong, Yanlin Wang, Jiahai WangAAAI 2025Exploring 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
General Agent Model & System
Multi-modal Agent (GUI etc.)
Seed Technical ReportUI-TARS: Pioneering Automated GUI Interaction with Native Agents, Yujia Qin, Yining Ye, Junjie Fang, Haoming Wang, Shihao Liang, Shizuo Tian, Junda Zhang, Jiahao Li, Yunxin Li, Shijue Huang, Wanjun Zhong, Kuanye Li, Jiale Yang, Yu Miao, Woyu Lin, Longxiang Liu, Xu Jiang, Qianli Ma, Jingyu Li, Xiaojun Xiao, Kai Cai, Chuang Li, Yaowei Zheng, Chaolin Jin, Chen Li, Xiao Zhou, Minchao Wang, Haoli Chen, Zhaojian Li, Haihua Yang, Haifeng Liu, Feng Lin, Tao Peng, Xin Liu, Guang Shi
Tool-Learning Agent
Sub. to NeurIPS 2025Retool: Reinforcement learning for strategic tool use in llms, Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun ZhongArxivAutokaggle: A multi-agent framework for autonomous data science competitions, Ziming Li, Qianbo Zang, David Ma, Jiawei Guo, Tuney Zheng, Minghao Liu, Xinyao Niu, Yue Wang, Jian Yang, Jiaheng Liu, Wanjun Zhong, Wangchunshu Zhou, Wenhao Huang, Ge ZhangEMNLP 2025Otc: Optimal tool calls via reinforcement learning, Hongru Wang, Cheng Qian, Wanjun Zhong, Xiusi Chen, Jiahao Qiu, Shijue Huang, Bowen Jin, Mengdi Wang, Kam-Fai Wong, Heng JiACL 2024Planning, 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
Code Agent
ArxivAgents 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 ZhengICSME 2023You 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 ZhengISSTA 24 - Outstanding Paper AwardWhen 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
Agent Memory
AAAI 2024MemoryBank: Enhancing Large Language Models with Long-Term Memory, Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, Yanlin Wang
Agent-driven Training
arXiv 2024YODA: 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 (* equal contribution)
Benchmark and Evaluation
NAACL 2024AGIEval: 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 DuanEMNLP 2024CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models, Zexuan Qiu, Jingjing Li, Shijue Huang, Wanjun Zhong, Irwin KingACL 2024 WorkshopPerLTQA: 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 WongACL 2024Followbench: 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
Self-Learning of LLMs
AAAI 2025Empowering 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 XuarXiv 2023SELF: 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
General LLM Training
arXiv 2023Data management for large language models: A survey, Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun LiuarXiv 2023Aligning large language models with human: A survey, Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun LiuACL 2024Learning 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-
ICSME 2023You 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 ACL 2023CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding, Zhijian Hou, Wanjun Zhong, Leiji, Kun Yan, Difei Gao, Wing-Kwong Chan, Chong-Wah Ngo, Zheng Shou, Nan Duan (* equal contribution)
Previous Work Before 2023
Multi-Modal
ICME 2023Semantic Composition and Alignment with Cross-Modality-Aware Syntactic Hypergraph Convolutional Network for Video Question Answering, Zenan Xu, Wanjun Zhong, Qinliang Su, Zijing Ou, Fuwei Zhang (* equal contribution)ECCV Challenge 2022An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022, Zhijian Hou, Wanjun Zhong, Leiji, Kun Yan, Difei Gao, Wing-Kwong Chan, Chong-Wah Ngo, Zheng Shou, Nan Duan (* equal contribution) [code]
Knowledge-enhanced Language Model Reasoning
ACL 2022Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers, Wanjun Zhong, Tingting Ma, Jiahai Wang, Jian Yin, Tiejun Zhao, Chin-Yew Lin, Nan Duan (* equal contribution)EMNLP 2022Mixed-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 ( equal contribution) [code]NeurIPS 2022LogiGAN: Learning Logical Reasoning via Adversarial Pre-training, Xinyu Pi, Wanjun Zhong, Yan Gao, Jian-guang Lou, Nan Duan (* equal contribution) [code]IJCAI 2022 (Oral)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 (* equal contribution) [code]NAACL 2022ProQA: 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 ( equal contribution) [code]TASLP 2022From LSAT: The Progress and Challenges of Complex Reasoning, Siyuan Wang, Zhongkun Liu, Wanjun Zhong, Ming Zhou, Zhongyu Wei, Zhumin Chen, Nan DuanNAACL 2022Analytical Reasoning of Text, Wanjun Zhong, Siyuan Wang, Duyu Tang, Zenan Xu, Daya Guo, Jiahai Wang, Jian Yin, Ming Zhou, Nan Duan [code]ACL 2022Logic-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 [code]
Here is the formatted list in the requested style:EMNLP 2021WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach, Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan DuanACL 2021UserAdapter: Few-Shot User Learning in Sentiment Analysis, Wanjun Zhong, Duyu Tang, Jiahai Wang, Jian Yin, Nan DuanACL 2021Syntax-Enhanced Pre-trained Model, Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan DuanACL 2021Compare 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 ZhouEMNLP 2020 (Oral)Neural Deepfake Detection with Factual Structure of Text, Wanjun Zhong, Duyu Tang, Zenan Xu, Ruize Wang, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin [video]EMNLP 2020Leveraging 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 ZhouACL 2020LogicalFactChecker: 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 [video]ACL 2020Reasoning Over Semantic-Level Graph for Fact Checking, Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, Jian Yin [video]NLPCC 2019Improving Question Answering by Commonsense-Based Pre-Training, Wanjun Zhong, Duyu Tang, Nan Duan, Ming Zhou, Jiahai Wang, Jian YinAI Open 2023Improving Task Generalization via Unified Schema Prompt, Wanjun Zhong, Yifan Gao, Ning Ding, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan DuanarXiv 2020A 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