Jiang, Daxin

37 publications

ICLR 2026 Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource Houyi Li, Ka Man Lo, Shijie Xuyang, Ziqi Wang, Wenzhen Zheng, Haocheng Zhang, Zhao Li, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang

ICLR 2026 NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale Chunrui Han, Guopeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Shu-Tao Xia, Binxing Jiao, Daxin Jiang, Xiangyu Zhang, Yibo Zhu

ICLR 2026 Random Policy Valuation Is Enough for LLM Reasoning with Verifiable Rewards Haoran He, Yuxiao Ye, Qingpeng Cai, Chen Hu, Binxing Jiao, Daxin Jiang, Ling Pan

ICLR 2026 WithAnyone: Toward Controllable and ID Consistent Image Generation Hengyuan Xu, Wei Cheng, Peng Xing, Yixiao Fang, Shuhan Wu, Rui Wang, Xianfang Zeng, Daxin Jiang, Gang Yu, Xingjun Ma, Yu-Gang Jiang

TMLR 2025 A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches Ruibo Ming, Zhewei Huang, Jingwei Wu, Zhuoxuan Ju, Daxin Jiang, Jianming Hu, Lihui Peng, Shuchang Zhou

NeurIPS 2025 GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning Haolong Yan, Yeqing Shen, Xin Huang, Jia Wang, Kaijun Tan, Zhixuan Liang, Hongxin Li, Zheng Ge, Osamu Yoshie, Si Li, Xiangyu Zhang, Daxin Jiang

NeurIPS 2025 Open Vision Reasoner: Transferring Linguistic Cognitive Behavior for Visual Reasoning Yana Wei, Liang Zhao, Jianjian Sun, Kangheng Lin, Jisheng Yin, Jingcheng Hu, Yinmin Zhang, En Yu, Haoran Lv, Zejia Weng, Jia Wang, Qi Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Vishal M. Patel

NeurIPS 2025 Open-Reasoner-Zero: An Open Source Approach to Scaling up Reinforcement Learning on the Base Model Jingcheng Hu, Yinmin Zhang, Qi Han, Daxin Jiang, Xiangyu Zhang, Heung-Yeung Shum

NeurIPS 2025 Perception-R1: Pioneering Perception Policy with Reinforcement Learning En Yu, Kangheng Lin, Liang Zhao, Jisheng Yin, Yana Wei, Yuang Peng, Haoran Wei, Jianjian Sun, Chunrui Han, Zheng Ge, Xiangyu Zhang, Daxin Jiang, Jingyu Wang, Wenbing Tao

NeurIPS 2025 Predictable Scale (Part II) --- Farseer: A Refined Scaling Law in LLMs Houyi Li, Wenzhen Zheng, Qiufeng Wang, Zhenyu Ding, Haoying Wang, Zili Wang, Shijie Xuyang, Ning Ding, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang

AAAI 2024 Fine-Grained Distillation for Long Document Retrieval Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang

ICLR 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

ICLR 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang

AAAI 2023 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang

ICLR 2023 HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization ZeFeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang

CVPR 2023 Iterative Proposal Refinement for Weakly-Supervised Video Grounding Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang

ICLR 2023 KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang

ICCV 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

ICLR 2023 LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang

ECML-PKDD 2023 MASTER: Multi-Task Pre-Trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen

ICLR 2023 Modeling Sequential Sentence Relation to Improve Cross-Lingual Dense Retrieval Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan

AAAI 2023 WIERT: Web Information Extraction via Render Tree Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang

AAAI 2022 FORCE: A Framework of Rule-Based Conversational Recommender System Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang

ECCV 2022 NÜWA: Visual Synthesis Pre-Training for Neural visUal World creAtion Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan

IJCAI 2022 Unsupervised Context Aware Sentence Representation Pretraining for Multi-Lingual Dense Retrieval Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang

ICLR 2021 Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang

IJCAI 2021 A Survey on Response Selection for Retrieval-Based Dialogues Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang

ICLR 2021 GraphCodeBERT: Pre-Training Code Representations with Data Flow Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou

AAAI 2021 Integrating Pre-Trained Model into Rule-Based Dialogue Management Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang

AAAI 2021 Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-Based Dialogues Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan

NeurIPS 2021 Neural Rule-Execution Tracking Machine for Transformer-Based Text Generation Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang

AAAI 2021 Reinforced Multi-Teacher Selection for Knowledge Distillation Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang

IJCAI 2020 Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang

AAAI 2020 Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu

AAAI 2020 Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang

AAAI 2020 Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang

AAAI 2018 Assertion-Based QA with Question-Aware Open Information Extraction Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li