DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. - Daxin Jiang; Jian Pei 001; Aidong Zhang (BIBE, 2003)

Interactive exploration of coherent patterns in time-series gene expression data. - Daxin Jiang; Jian Pei 001; Aidong Zhang (KDD, 2003)

Towards interactive exploration of gene expression patterns. - Daxin Jiang; Jian Pei 001; Aidong Zhang (SIGKDD Explor., 2003)

Mining coherent gene clusters from gene-sample-time microarray data. - Daxin Jiang; Jian Pei 001; Murali Ramanathan; Chun Tang; Aidong Zhang (KDD, 2004)

GPX: Interactive Mining of Gene Expression Data. - Daxin Jiang; Jian Pei 001; Aidong Zhang (VLDB, 2004)

Cluster Analysis for Gene Expression Data: A Survey. - Daxin Jiang; Chun Tang; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2004)

A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. - Daxin Jiang; Jian Pei 001; Aidong Zhang (DASFAA, 2005)

Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. - Jian Pei 001; Daxin Jiang; Aidong Zhang (ICDE, 2005)

On mining cross-graph quasi-cliques. - Jian Pei 001; Daxin Jiang; Aidong Zhang (KDD, 2005)

An Interactive Approach to Mining Gene Expression Data. - Daxin Jiang; Jian Pei 001; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2005)

Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks. - Chuan Lin; Daxin Jiang; Aidong Zhang (BIBE, 2006)

Mining gene-sample-time microarray data: a coherent gene cluster discovery approach. - Daxin Jiang; Jian Pei 001; Murali Ramanathan; Chuan Lin; Chun Tang; Aidong Zhang (Knowl. Inf. Syst., 2007)

Context-aware query suggestion by mining click-through and session data. - Huanhuan Cao; Daxin Jiang; Jian Pei 001; Qi He 002; Zhen Liao; Enhong Chen; Hang Li 001 (KDD, 2008)

Web Query Recommendation via Sequential Query Prediction. - Qi He 002; Daxin Jiang; Zhen Liao; Steven C. H. Hoi; Kuiyu Chang; Ee-Peng Lim; Hang Li 001 (ICDE, 2009)

OLAP on search logs: an infrastructure supporting data-driven applications in search engines. - Bin Zhou 002; Daxin Jiang; Jian Pei 001; Hang Li 001 (KDD, 2009)

Context-aware query classification. - Huanhuan Cao; Derek Hao Hu; Dou Shen; Daxin Jiang; Jian-Tao Sun; Enhong Chen; Qiang Yang 001 (SIGIR, 2009)

Towards context-aware search by learning a very large variable length hidden markov model from search logs. - Huanhuan Cao; Daxin Jiang; Jian Pei 001; Enhong Chen; Hang Li 001 (WWW, 2009)

Mining frequent cross-graph quasi-cliques. - Daxin Jiang; Jian Pei 001 (ACM Trans. Knowl. Discov. Data, 2009)

Search and browse log mining for web information retrieval: challenges, methods, and applications. - Daxin Jiang; Jian Pei 001; Hang Li 001 (SIGIR, 2010)

Context-aware ranking in web search. - Biao Xiang; Daxin Jiang; Jian Pei 001; Xiaohui Sun; Enhong Chen; Hang Li 001 (SIGIR, 2010)

Web search/browse log mining: challenges, methods, and applications. - Daxin Jiang; Jian Pei 001; Hang Li 001 (WWW, 2010)

Mining discriminative items in multiple data streams. - Zhenhua Lin; Bin Jiang 009; Jian Pei 001; Daxin Jiang (World Wide Web, 2010)

Web Search and Browse Log Mining: Challenges, Methods, and Applications. - Daxin Jiang (DASFAA (2), 2011)

Enhancing web search by mining search and browse logs. - Daxin Jiang; Jian Pei 001; Hang Li 001 (SIGIR, 2011)

Multidimensional mining of large-scale search logs: a topic-concept cube approach. - Dongyeop Kang; Daxin Jiang; Jian Pei 001; Zhen Liao; Xiaohui Sun; Ho-Jin Choi (WSDM, 2011)

Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. - Zhen Liao; Daxin Jiang; Enhong Chen; Jian Pei 001; Huanhuan Cao; Hang Li 001 (ACM Trans. Intell. Syst. Technol., 2011)

Automatically Mining Question Reformulation Patterns from Search Log Data. - Xiaobing Xue; Yu Tao; Daxin Jiang; Hang Li 001 (ACL (2), 2012)

Mining query subtopics from search log data. - Yunhua Hu; Ya-nan Qian; Hang Li 001; Daxin Jiang; Jian Pei 001; Qinghua Zheng (SIGIR, 2012)

Mining search and browse logs for web search: A Survey. - Daxin Jiang; Jian Pei 001; Hang Li 001 (ACM Trans. Intell. Syst. Technol., 2013)

A vlHMM approach to context-aware search. - Zhen Liao; Daxin Jiang; Jian Pei 001; Yalou Huang; Enhong Chen; Huanhuan Cao; Hang Li 001 (ACM Trans. Web, 2013)

Finding email correspondents in online social networks. - Yi Cui; Jian Pei 001; Guanting Tang; Wo-Shun Luk; Daxin Jiang; Ming Hua 001 (World Wide Web, 2013)

Deep LSTM based Feature Mapping for Query Classification. - Yangyang Shi; Kaisheng Yao; Le Tian; Daxin Jiang (HLT-NAACL, 2016)

Assertion-Based QA With Question-Aware Open Information Extraction. - Zhao Yan; Duyu Tang; Nan Duan; Shujie Liu 001; Wendi Wang; Daxin Jiang; Ming Zhou 001; Zhoujun Li 001 (AAAI, 2018)

Joint Type Inference on Entities and Relations via Graph Convolutional Networks. - Changzhi Sun; Yeyun Gong; Yuanbin Wu; Ming Gong 001; Daxin Jiang; Man Lan; Shiliang Sun; Nan Duan (ACL (1), 2019)

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. - Ming Gong 001; Linjun Shou; Wutao Lin; Zhijie Sang; Quanjia Yan; Ze Yang 005; Feixiang Cheng; Daxin Jiang (EMNLP/IJCNLP (3), 2019)

Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. - Haoyang Huang; Yaobo Liang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Ming Zhou 001 (EMNLP/IJCNLP (1), 2019)

Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. - Tao Shen 001; Xiubo Geng; Tao Qin 001; Daya Guo; Duyu Tang; Nan Duan; Guodong Long; Daxin Jiang (EMNLP/IJCNLP (1), 2019)

NeuronBlocks - Building Your NLP DNN Models Like Playing Lego. - Ming Gong 001; Linjun Shou; Wutao Lin; Zhijie Sang; Quanjia Yan; Ze Yang 005; Daxin Jiang (CoRR, 2019)

Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System. - Ze Yang 005; Linjun Shou; Ming Gong 001; Wutao Lin; Daxin Jiang (CoRR, 2019)

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. - Gen Li; Nan Duan; Yuejian Fang; Daxin Jiang; Ming Zhou 001 (CoRR, 2019)

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. - Tao Shen 001; Xiubo Geng; Tao Qin 001; Guodong Long; Jing Jiang 002; Daxin Jiang (CoRR, 2019)

Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. - Gen Li; Nan Duan; Yuejian Fang; Ming Gong 001; 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 001; Linjun Shou; Daxin Jiang; Guihong Cao; Songlin Hu 001 (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 001; Daxin Jiang (AAAI, 2020)

Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. - Daya Guo; Duyu Tang; Nan Duan; Jian Yin 001; Daxin Jiang; Ming Zhou 001 (ACL, 2020)

RikiNet: Reading Wikipedia Pages for Natural Question Answering. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Yu Yan; Jiusheng Chen; Daxin Jiang; Jiancheng Lv 001; Nan Duan (ACL, 2020)

Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. - Fei Yuan 010; Linjun Shou; Xuanyu Bai; Ming Gong 001; Yaobo Liang; Nan Duan; Yan Fu; Daxin Jiang (ACL, 2020)

Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. - Bo Zheng 010; Haoyang Wen; Yaobo Liang; Nan Duan; Wanxiang Che; Daxin Jiang; Ming Zhou 001; Ting Liu 001 (ACL, 2020)

LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. - Wanjun Zhong; Duyu Tang; Zhangyin Feng; Nan Duan; Ming Zhou 001; Ming Gong 001; Linjun Shou; Daxin Jiang; Jiahai Wang; Jian Yin 001 (ACL, 2020)

Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding. - Zihan Xu; Jiangang Zhu; Ling Geng; Yang Yang 012; Bojia Lin; Daxin Jiang (CIKM, 2020)

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. - Junhao Liu 001; Linjun Shou; Jian Pei 001; Ming Gong 001; Min Yang 007; Daxin Jiang (COLING, 2020)

A Graph Representation of Semi-structured Data for Web Question Answering. - Xingyao Zhang; Linjun Shou; Jian Pei 001; Ming Gong 001; Lijie Wen 001; Daxin Jiang (COLING, 2020)

CodeBERT: A Pre-Trained Model for Programming and Natural Languages. - Zhangyin Feng; Daya Guo; Duyu Tang; Nan Duan; Xiaocheng Feng; Ming Gong 001; Linjun Shou; Bing Qin 001; Ting Liu 001; Daxin Jiang; Ming Zhou 001 (EMNLP (Findings), 2020)

XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Ruofei Zhang; et al. (EMNLP (1), 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Yu Yan; Jie Fu 001; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (EMNLP (1), 2020)

GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. - Huaishao Luo; Lei Ji 001; Tianrui Li 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2020)

Towards Interpretable Reasoning over Paragraph Effects in Situation. - Mucheng Ren; Xiubo Geng; Tao Qin 001; Heyan Huang; Daxin Jiang (EMNLP (1), 2020)

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. - Xuguang Wang; Linjun Shou; Ming Gong 001; Nan Duan; Daxin Jiang (EMNLP (Findings), 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 001; Daxin Jiang; Ming Zhou 001 (EMNLP (1), 2020)

Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. - Chujie Zheng; Yunbo Cao; Daxin Jiang; Minlie Huang (EMNLP (Findings), 2020)

Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. - Tao Shen 001; Xiubo Geng; Guodong Long; Jing Jiang 002; Chengqi Zhang; Daxin Jiang (IJCAI, 2020)

Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. - Linjun Shou; Shining Bo; Feixiang Cheng; Ming Gong 001; Jian Pei 001; Daxin Jiang (KDD, 2020)

DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. - Ping Nie; Yuyu Zhang; Xiubo Geng; Arun Ramamurthy; Le Song; Daxin Jiang (SIGIR, 2020)

Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. - Ze Yang 005; Linjun Shou; Ming Gong 001; Wutao Lin; Daxin Jiang (WSDM, 2020)

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. - Yaobo Liang; Nan Duan; Yeyun Gong; Ning Wu; Fenfei Guo; Weizhen Qi; Ming Gong 001; Linjun Shou; Daxin Jiang; Guihong Cao; Xiaodong Fan; Bruce Zhang; et al. (CoRR, 2020)

Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. - Daya Guo; Akari Asai; Duyu Tang; Nan Duan; Ming Gong 001; Linjun Shou; Daxin Jiang; Jian Yin 001; Ming Zhou 001 (CoRR, 2020)

Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. - Dayiheng Liu; Yeyun Gong; Jie Fu 001; Wei Liu; Yu Yan; Bo Shao; Daxin Jiang; Jiancheng Lv 001; Nan Duan (CoRR, 2020)

Pre-training Text Representations as Meta Learning. - Shangwen Lv; Yuechen Wang; Daya Guo; Duyu Tang; Nan Duan; Fuqing Zhu; Ming Gong 001; Linjun Shou; Ryan Ma; Daxin Jiang; Guihong Cao; Ming Zhou 001; et al. (CoRR, 2020)

Integrating Pre-trained Model into Rule-based Dialogue Management. - Jun Quan; Meng Yang; Qiang Gan 004; Deyi Xiong; Yiming Liu; Yuchen Dong; Fangxin Ouyang; Jun Tian; Ruiling Deng; Yongzhi Li; Yang Yang 012; 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 001; Rui Yan 001 (AAAI, 2021)

Reinforced Multi-Teacher Selection for Knowledge Distillation. - Fei Yuan 010; Linjun Shou; Jian Pei 001; Wutao Lin; Ming Gong 001; Yan Fu; Daxin Jiang (AAAI, 2021)

MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. - Jia-Chen Gu; Chongyang Tao; Zhen-Hua Ling; Can Xu; Xiubo Geng; Daxin Jiang (ACL/IJCNLP (1), 2021)

Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. - Hao Huang; Xiubo Geng; Jian Pei 001; Guodong Long; Daxin Jiang (ACL/IJCNLP (1), 2021)

CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. - Junjie Huang 008; Duyu Tang; Linjun Shou; Ming Gong 001; Ke Xu 001; Daxin Jiang; Ming Zhou 001; Nan Duan (ACL/IJCNLP (1), 2021)

Maria: A Visual Experience Powered Conversational Agent. - Zujie Liang; Huang Hu; Can Xu; Chongyang Tao; Xiubo Geng; Yining Chen; Fan Liang; Daxin Jiang (ACL/IJCNLP (1), 2021)

GLGE: A New General Language Generation Evaluation Benchmark. - Dayiheng Liu; Yu Yan; Yeyun Gong; Weizhen Qi; Hang Zhang 029; Jian Jiao 007; Weizhu Chen; Jie Fu 001; Linjun Shou; Ming Gong 001; Pengcheng Wang; Jiusheng Chen; et al. (ACL/IJCNLP (Findings), 2021)

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. - Weizhen Qi; Yeyun Gong; Yu Yan; Can Xu; Bolun Yao; Bartuer Zhou; Biao Cheng; Daxin Jiang; Jiusheng Chen; Ruofei Zhang; Houqiang Li; Nan Duan (ACL (demo), 2021)

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. - Ruize Wang; Duyu Tang; Nan Duan; Zhongyu Wei; Xuanjing Huang 001; Jianshu Ji; Guihong Cao; Daxin Jiang; Ming Zhou 001 (ACL/IJCNLP (Findings), 2021)

Syntax-Enhanced Pre-trained Model. - Zenan Xu; Daya Guo; Duyu Tang; Qinliang Su; Linjun Shou; Ming Gong 001; Wanjun Zhong; Xiaojun Quan; Daxin Jiang; Nan Duan (ACL/IJCNLP (1), 2021)

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Jian Pei 001; Wenqiang Zhang; Daxin Jiang (ACL/IJCNLP (Findings), 2021)

Learning to Ground Visual Objects for Visual Dialog. - Feilong Chen; Xiuyi Chen; Can Xu; Daxin Jiang (EMNLP (Findings), 2021)

Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. - Yingmei Guo; Linjun Shou; Jian Pei 001; Ming Gong 001; Mingxing Xu; Zhiyong Wu 001; Daxin Jiang (EMNLP (1), 2021)

WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. - Junjie Huang 008; Duyu Tang; Wanjun Zhong; Shuai Lu; Linjun Shou; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2021)

Learning Neural Templates for Recommender Dialogue System. - Zujie Liang; Huang Hu; Can Xu; Jian Miao; Yingying He; Yining Chen; Xiubo Geng; Fan Liang; Daxin Jiang (EMNLP (1), 2021)

Re-entry Prediction for Online Conversations via Self-Supervised Learning. - Lingzhi Wang 001; Xingshan Zeng; Huang Hu; Kam-Fai Wong; Daxin Jiang (EMNLP (Findings), 2021)

GraphCodeBERT: Pre-training Code Representations with Data Flow. - Daya Guo; Shuo Ren; Shuai Lu; Zhangyin Feng; Duyu Tang; Shujie Liu 001; Long Zhou; Nan Duan; Alexey Svyatkovskiy; Shengyu Fu; Michele Tufano; Shao Kun Deng; et al. (ICLR, 2021)

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. - Ruozi Huang; Huang Hu; Wei Wu 014; Kei Sawada; Mi Zhang; Daxin Jiang (ICLR, 2021)

A Survey on Response Selection for Retrieval-based Dialogues. - Chongyang Tao; Jiazhan Feng; Rui Yan 001; Wei Wu 014; Daxin Jiang (IJCAI, 2021)

Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. - Shining Liang; Ming Gong 001; Jian Pei 001; Linjun Shou; Wanli Zuo; Xianglin Zuo; Daxin Jiang (KDD, 2021)

Language Scaling: Applications, Challenges and Approaches. - Linjun Shou; Ming Gong 001; Jian Pei 001; Xiubo Geng; Xingjie Zhou; Daxin Jiang (KDD, 2021)

Table2Charts: Recommending Charts by Learning Shared Table Representations. - Mengyu Zhou; Qingtao Li; Xinyi He; Yuejiang Li; Yibo Liu; Wei Ji; Shi Han; Yining Chen; Daxin Jiang; Dongmei Zhang 001 (KDD, 2021)

Language Scaling for Universal Suggested Replies Model. - Qianlan Ying; Payal Bajaj; Budhaditya Deb; Yu Yang; Wei Wang 238; Bojia Lin; Milad Shokouhi; Xia Song; Yang Yang 012; Daxin Jiang (NAACL-HLT (Industry Papers), 2021)

Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Wenqiang Zhang; Daxin Jiang (NAACL-HLT, 2021)

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. - Shuai Lu; Daya Guo; Shuo Ren; Junjie Huang 008; Alexey Svyatkovskiy; Ambrosio Blanco; Colin B. Clement; Dawn Drain; Daxin Jiang; Duyu Tang; Ge Li 001; Lidong Zhou; et al. (NeurIPS Datasets and Benchmarks, 2021)

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. - Yufei Wang 003; Can Xu; Huang Hu; Chongyang Tao; Stephen Wan 001; Mark Dras; Mark Johnson 001; Daxin Jiang (NeurIPS, 2021)

CalibreNet: Calibration Networks for Multilingual Sequence Labeling. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Daxin Jiang (WSDM, 2021)

Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. - Qian Liu 012; Xiubo Geng; Jie Lu 001; Daxin Jiang (WWW, 2021)

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. - Zhihan Zhang 001; Xiubo Geng; Tao Qin 001; Yunfang Wu; Daxin Jiang (WWW, 2021)

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. - Chuhan Wu; Fangzhao Wu; Tao Qi; Binxing Jiao; Daxin Jiang; Yongfeng Huang 001 (CoRR, 2021)

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. - Chongyang Tao; Jiazhan Feng; Chang Liu 076; Juntao Li; Xiubo Geng; Daxin Jiang (CoRR, 2021)

Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Kam-Fai Wong; Daxin Jiang (CoRR, 2021)

From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Daxin Jiang (CoRR, 2021)

FORCE: A Framework of Rule-Based Conversational Recommender System. - Jun Quan; Ze Wei; Qiang Gan 004; Jingqi Yao; Jingyi Lu; Yuchen Dong; Yiming Liu; Yi Zeng; Chao Zhang; Yongzhi Li; Huang Hu; Yingying He; et al. (AAAI, 2022)

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. - Yufei Wang 003; Can Xu; Qingfeng Sun; Huang Hu; Chongyang Tao; Xiubo Geng; Daxin Jiang (ACL (1), 2022)

THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. - Tianyu Chen; Hangbo Bao; Shaohan Huang; Li Dong 004; Binxing Jiao; Daxin Jiang; Haoyi Zhou; Jianxin Li 002; Furu Wei (ACL (Findings), 2022)

Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. - Wei Chen 088; Yeyun Gong; Can Xu; Huang Hu; Bolun Yao; Zhongyu Wei; Zhihao Fan; Xiaowu Hu; Bartuer Zhou; Biao Cheng; Daxin Jiang; Nan Duan (ACL (1), 2022)

HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. - Jia-Chen Gu; Chao-Hong Tan; Chongyang Tao; Zhen-Hua Ling; Huang Hu; Xiubo Geng; Daxin Jiang (ACL (1), 2022)

Multimodal Dialogue Response Generation. - Qingfeng Sun; Yujing Wang; Can Xu; Kai Zheng 021; Yaming Yang 001; Huang Hu; Fei Xu; Jessica Zhang; Xiubo Geng; Daxin Jiang (ACL (1), 2022)

TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. - Chao-Hong Tan; Jia-Chen Gu; Chongyang Tao; Zhen-Hua Ling; Can Xu; Huang Hu; Xiubo Geng; Daxin Jiang (ACL (Findings), 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 001; Nan Duan (ACL (Findings), 2022)

Multi-View Document Representation Learning for Open-Domain Dense Retrieval. - Shunyu Zhang; Yaobo Liang; Ming Gong 001; Daxin Jiang; Nan Duan (ACL (1), 2022)

ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Guodong Long; Daxin Jiang (ACL (1), 2022)

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. - Jianhuan Zhuo; Jianxun Lian; Lanling Xu; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Yinliang Yue (CIKM, 2022)

Social Norms-Grounded Machine Ethics in Complex Narrative Situation. - Tao Shen 001; Xiubo Geng; Daxin Jiang (COLING, 2022)

NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. - Chenfei Wu; Jian Liang; Lei Ji 001; Fan Yang 024; Yuejian Fang; Daxin Jiang; Nan Duan (ECCV (16), 2022)

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. - Qiyu Wu 001; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Daxin Jiang (EMNLP, 2022)

Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. - Junjie Huang 008; Wanjun Zhong; Qian Liu 012; Ming Gong 001; Daxin Jiang; Nan Duan (EMNLP (Findings), 2022)

Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. - Xiaonan Li; Daya Guo; Yeyun Gong; Yun Lin; Yelong Shen; Xipeng Qiu; Daxin Jiang; Weizhu Chen; Nan Duan (EMNLP (Findings), 2022)

CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. - Xiaonan Li; Yeyun Gong; Yelong Shen; Xipeng Qiu; Hang Zhang 029; Bolun Yao; Weizhen Qi; Daxin Jiang; Weizhu Chen; Nan Duan (EMNLP, 2022)

Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (EMNLP, 2022)

Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. - Houxing Ren; Linjun Shou; Jian Pei 001; Ning Wu; Ming Gong 001; Daxin Jiang (EMNLP (Findings), 2022)

Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. - Houxing Ren; Linjun Shou; Ning Wu; Ming Gong 001; Daxin Jiang (EMNLP, 2022)

XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. - Yong Wang 032; Shilin He; Guanhua Chen 001; Yun Chen 007; Daxin Jiang (EMNLP, 2022)

Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. - Ning Wu; Yaobo Liang; Houxing Ren; Linjun Shou; Nan Duan; Ming Gong 001; Daxin Jiang (IJCAI, 2022)

RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. - Lingzhi Wang 001; Huang Hu; Lei Sha; Can Xu; Daxin Jiang; Kam-Fai Wong (AACL/IJCNLP (1), 2022)

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. - Yuntao Li; Can Xu; Huang Hu; Lei Sha; Yan Zhang 117; Daxin Jiang (INTERSPEECH, 2022)

Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Daxin Jiang (NAACL-HLT, 2022)

Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. - Hao Huang; Xiubo Geng; Guodong Long; Daxin Jiang (NAACL-HLT, 2022)

Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. - Qingfeng Sun; Can Xu; Huang Hu; Yujing Wang; Jian Miao; Xiubo Geng; Yining Chen; Fei Xu; Daxin Jiang (NAACL-HLT, 2022)

Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. - Qianglong Chen; Xiangji Zeng; Jiangang Zhu; Yin Zhang 006; Bojia Lin; Yang Yang 012; Daxin Jiang (NLPCC (1), 2022)

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Transformer-Empowered Content-Aware Collaborative Filtering. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. - Jia Li 012; Chongyang Tao; Huang Hu; Can Xu; Yining Chen; Daxin Jiang (WSDM, 2022)

EventBERT: A Pre-Trained Model for Event Correlation Reasoning. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Guodong Long; Daxin Jiang (WWW, 2022)

CodeRetriever: Unimodal and Bimodal Contrastive Learning. - Xiaonan Li; Yeyun Gong; Yelong Shen; Xipeng Qiu; Hang Zhang 029; Bolun Yao; Weizhen Qi; Daxin Jiang; Weizhu Chen; Nan Duan (CoRR, 2022)

NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. - Minheng Ni; Chenfei Wu; Haoyang Huang; Daxin Jiang; Wangmeng Zuo; Nan Duan (CoRR, 2022)

Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. - Shining Liang; Linjun Shou; Jian Pei 001; Ming Gong 001; Wanli Zuo; Xianglin Zuo; Daxin Jiang (CoRR, 2022)

UnifieR: A Unified Retriever for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Kai Zhang 033; Daxin Jiang (CoRR, 2022)

Negative Sampling for Contrastive Representation Learning: A Review. - Lanling Xu; Jianxun Lian; Wayne Xin Zhao; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Ji-Rong Wen (CoRR, 2022)

Task-Specific Expert Pruning for Sparse Mixture-of-Experts. - Tianyu Chen; Shaohan Huang; Yuan Xie; Binxing Jiao; Daxin Jiang; Haoyi Zhou; Jianxin Li 002; Furu Wei (CoRR, 2022)

Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. - Shengyao Zhuang; Houxing Ren; Linjun Shou; Jian Pei 001; Ming Gong 001; Guido Zuccon; Daxin Jiang (CoRR, 2022)

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP. - Yufei Wang 003; Jiayi Zheng; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Daxin Jiang (CoRR, 2022)

Text Embeddings by Weakly-Supervised Contrastive Pre-training. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (CoRR, 2022)

LEAD: Liberal Feature-based Distillation for Dense Retrieval. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jian Jiao 007; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2022)

Adam: Dense Retrieval Distillation with Adaptive Dark Examples. - Chang Liu 076; Chongyang Tao; Xiubo Geng; Tao Shen 001; Dongyan Zhao 001; Can Xu; Binxing Jiao; Daxin Jiang (CoRR, 2022)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Guodong Long; Can Xu; Daxin Jiang (CoRR, 2022)

Graph Fusion Network for Text Classification. - Yong Dai 001; Linjun Shou; Ming Gong 001; Xiaolin Xia; Zhao Kang 001; Zenglin Xu; Daxin Jiang (Knowl. Based Syst., 2022)

WIERT: Web Information Extraction via Render Tree. - Zimeng Li; Bo Shao; Linjun Shou; Ming Gong 001; Gen Li; Daxin Jiang (AAAI, 2023)

A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. - Zenan Xu; Linjun Shou; Jian Pei 001; Ming Gong 001; Qinliang Su; Xiaojun Quan; Daxin Jiang (AAAI, 2023)

Alleviating Over-smoothing for Unsupervised Sentence Representation. - Nuo Chen 001; Linjun Shou; Jian Pei 001; Ming Gong 001; Bowen Cao; Jianhui Chang; Jia Li 009; Daxin Jiang (ACL (1), 2023)

Structural Contrastive Pretraining for Cross-Lingual Comprehension. - Nuo Chen 001; Linjun Shou; Tengtao Song; Ming Gong 001; Jian Pei 001; Jianhui Chang; Daxin Jiang; Jia Li 009 (ACL (Findings), 2023)

FAA: Fine-grained Attention Alignment for Cascade Document Ranking. - Zhen Li 048; Chongyang Tao; Jiazhan Feng; Tao Shen 001; Dongyan Zhao 001; Xiubo Geng; Daxin Jiang (ACL (1), 2023)

Code Execution with Pre-trained Language Models. - Chenxiao Liu; Shuai Lu; Weizhu Chen; Daxin Jiang; Alexey Svyatkovskiy; Shengyu Fu; Neel Sundaresan; Nan Duan (ACL (Findings), 2023)

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. - Chongyang Tao; Jiazhan Feng; Tao Shen 001; Chang Liu 076; Juntao Li; Xiubo Geng; Daxin Jiang (ACL (1), 2023)

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (ACL (1), 2023)

Towards Robust Ranker for Text Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Guodong Long; Binxing Jiao; Daxin Jiang (ACL (Findings), 2023)

RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. - Ning Wu; Ming Gong 001; Linjun Shou; Jian Pei 001; Daxin Jiang (CIKM, 2023)

Iterative Proposal Refinement for Weakly-Supervised Video Grounding. - Meng Cao 002; Fangyun Wei; Can Xu; Xiubo Geng; Long Chen 016; Can Zhang 001; Yuexian Zou; Tao Shen 001; Daxin Jiang (CVPR, 2023)

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. - Xindi Wang 001; Yufei Wang 003; Can Xu; Xiubo Geng; Bowen Zhang; Chongyang Tao; Frank Rudzicz; Robert E. Mercer; Daxin Jiang (ECAI, 2023)

Allies: Prompting Large Language Model with Beam Search. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Yan Zhang 117; Daxin Jiang; Linjun Yang; Nan Duan (EMNLP (Findings), 2023)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Daxin Jiang (EMNLP, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Daxin Jiang (EMNLP (Findings), 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICCV, 2023)

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang (ICLR, 2023)

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. - Yufei Wang 003; Jiayi Zheng; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Daxin Jiang (ICLR, 2023)

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. - Zefeng Cai; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Xin Alex Lin; Liang He 001; Daxin Jiang (ICLR, 2023)

Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. - Shunyu Zhang; Yaobo Liang; Ming Gong 001; Daxin Jiang; Nan Duan (ICLR, 2023)

UnifieR: A Unified Retriever for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Guodong Long; Kai Zhang 033; Daxin Jiang (KDD, 2023)

Large Language Models are Diverse Role-Players for Summarization Evaluation. - Ning Wu; Ming Gong 001; Linjun Shou; Shining Liang; Daxin Jiang (NLPCC (1), 2023)

MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. - Kun Zhou 002; Xiao Liu 029; Yeyun Gong; Wayne Xin Zhao; Daxin Jiang; Nan Duan; Ji-Rong Wen (ECML/PKDD (2), 2023)

Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. - Shengyao Zhuang; Linjun Shou; Jian Pei 001; Ming Gong 001; Houxing Ren; Guido Zuccon; Daxin Jiang (SIGIR-AP, 2023)

PROD: Progressive Distillation for Dense Retrieval. - Zhenghao Lin; Yeyun Gong; Xiao Liu 029; Hang Zhang 029; Chen Lin 001; Anlei Dong; Jian Jiao 007; Jingwen Lu; Daxin Jiang; Rangan Majumder; Nan Duan (WWW, 2023)

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. - Kai Zhang 033; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Binxing Jiao; Daxin Jiang (WWW, 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwen Lin; Daxin Jiang (CoRR, 2023)

Bridge the Gap between Language models and Tabular Understanding. - Nuo Chen 001; Linjun Shou; Ming Gong 001; Jian Pei 001; Chenyu You; Jianhui Chang; Daxin Jiang; Jia Li 009 (CoRR, 2023)

Inference with Reference: Lossless Acceleration of Large Language Models. - Nan Yang 002; Tao Ge 001; Liang Wang 046; Binxing Jiao; Daxin Jiang; Linjun Yang; Rangan Majumder; Furu Wei (CoRR, 2023)

WizardLM: Empowering Large Language Models to Follow Complex Instructions. - Can Xu; Qingfeng Sun; Kai Zheng 021; Xiubo Geng; Pu Zhao 004; Jiazhan Feng; Chongyang Tao; Daxin Jiang (CoRR, 2023)

Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Tianyi Zhou 001; Daxin Jiang (CoRR, 2023)

Augmented Large Language Models with Parametric Knowledge Guiding. - Ziyang Luo; Can Xu; Pu Zhao 004; Xiubo Geng; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (CoRR, 2023)

Knowledge Refinement via Interaction Between Search Engines and Large Language Models. - Jiazhan Feng; Chongyang Tao; Xiubo Geng; Tao Shen 001; Can Xu; Guodong Long; Dongyan Zhao 001; Daxin Jiang (CoRR, 2023)

BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. - Hao Sun 015; Xiao Liu 029; Yeyun Gong; Anlei Dong; Jingwen Lu; Yan Zhang 117; Daxin Jiang; Linjun Yang; Rangan Majumder; Nan Duan (CoRR, 2023)

Instructed Language Models with Retrievers Are Powerful Entity Linkers. - Zilin Xiao; Ming Gong 001; Jie Wu; Xingyao Zhang; Linjun Shou; Jian Pei 001; Daxin Jiang (CoRR, 2023)

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. - Zilin Xiao; Linjun Shou; Xingyao Zhang; Jie Wu; Ming Gong 001; Jian Pei 001; Daxin Jiang (CoRR, 2023)

MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. - Qian Liu 012; Xiubo Geng; Heyan Huang; Tao Qin 001; Jie Lu 001; Daxin Jiang (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Jianbing Shen; Guodong Long; Can Xu; Daxin Jiang (AAAI, 2024)

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Yibin Lei; Tianyi Zhou 001; Michael Blumenstein; Daxin Jiang (ACL (Findings), 2024)

Synergistic Interplay between Search and Large Language Models for Information Retrieval. - Jiazhan Feng; Chongyang Tao; Xiubo Geng; Tao Shen 001; Can Xu; Guodong Long; Dongyan Zhao 001; Daxin Jiang (ACL (1), 2024)

ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. - Chongyang Tao; Chang Liu 076; Tao Shen 001; Can Xu; Xiubo Geng; Binxing Jiao; Daxin Jiang (ACL (Findings), 2024)

Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. - Yiyuan Yang; Guodong Long; Michael Blumenstein; Xiubo Geng; Chongyang Tao; Tao Shen 001; Daxin Jiang (LREC/COLING, 2024)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct. - Ziyang Luo; Can Xu; Pu Zhao 004; Qingfeng Sun; Xiubo Geng; Wenxiang Hu; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICLR, 2024)

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. - Can Xu; Qingfeng Sun; Kai Zheng 021; Xiubo Geng; Pu Zhao 004; Jiazhan Feng; Chongyang Tao; Qingwei Lin; Daxin Jiang (ICLR, 2024)

Hypertext Entity Extraction in Webpage. - Yifei Yang; Tianqiao Liu; Bo Shao; Hai Zhao 001; Linjun Shou; Ming Gong 001; Daxin Jiang (CoRR, 2024)

VatLM: Visual-Audio-Text Pre-Training With Unified Masked Prediction for Speech Representation Learning. - Qiushi Zhu; Long Zhou; Ziqiang Zhang; Shujie Liu 001; Binxing Jiao; Jie Zhang 042; Li-Rong Dai 001; Daxin Jiang; Jinyu Li 001; Furu Wei (IEEE Trans. Multim., 2024)

Disentangled Retrieval and Reasoning for Implicit Question Answering. - Qian Liu 012; Xiubo Geng; Yu Wang; Erik Cambria; Daxin Jiang (IEEE Trans. Neural Networks Learn. Syst., 2024)

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 001 (Trans. Mach. Learn. Res., 2025)

InfinitePOD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. - Chenchen Shou; Guyue Liu; Hao Nie; Huaiyu Meng; Yu Zhou 010; Yimin Jiang; Wenqing Lv; Yelong Xu; Yuanwei Lu; Zhang Chen; Yanbo Yu; Yichen Shen 001; et al. (CoRR, 2025)

DSV: Exploiting Dynamic Sparsity to Accelerate Large-Scale Video DiT Training. - Xin Tan; Yuetao Chen; Yimin Jiang; Xing Chen; Kun Yan; Nan Duan; Yibo Zhu; Daxin Jiang; Hong Xu (CoRR, 2025)

Predictable Scale: Part I - Optimal Hyperparameter Scaling Law in Large Language Model Pretraining. - Houyi Li; Wenzhen Zheng; Jingcheng Hu; Qiufeng Wang; Hanshan Zhang; Zili Wang; Shijie Xuyang; Yuantao Fan; Shuigeng Zhou; Xiangyu Zhang 005; Daxin Jiang (CoRR, 2025)

Step-Video-TI2V Technical Report: A State-of-the-Art Text-Driven Image-to-Video Generation Model. - Haoyang Huang; Guoqing Ma; Nan Duan; Xing Chen; Changyi Wan; Ranchen Ming; Tianyu Wang; Bo Wang; Zhiying Lu; Aojie Li; Xianfang Zeng; Xinhao Zhang; et al. (CoRR, 2025)

M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization? - Haolong Yan; Kaijun Tan; Yeqing Shen; Xin Huang; Zheng Ge; Xiangyu Zhang 005; Si Li; Daxin Jiang (CoRR, 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 005; Heung-Yeung Shum (CoRR, 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 005; Daxin Jiang; et al. (CoRR, 2025)

PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline. - Zhenliang Xue; Hanpeng Hu; Xing Chen; Yimin Jiang; Yixin Song; Zeyu Mi; Yibo Zhu; Daxin Jiang; Yubin Xia; Haibo Chen 001 (CoRR, 2025)

StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation. - Yinmin Zhong; Zili Zhang; Xiaoniu Song; Hanpeng Hu; Chao Jin; Bingyang Wu; Nuo Chen 001; Yukun Chen; Yu Zhou 010; Changyi Wan; Hongyu Zhou; Yimin Jiang; et al. (CoRR, 2025)

Step1X-Edit: A Practical Framework for General Image Editing. - Shiyu Liu; Yucheng Han; Peng Xing; Fukun Yin; Rui Wang 099; Wei Cheng; Jiaqi Liao; Yingming Wang; Honghao Fu; Chunrui Han; Guopeng Li; Yuang Peng; et al. (CoRR, 2025)

DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs. - Yubo Shu; Zhewei Huang; Xin Wu; Chen Hu; Shuchang Zhou 001; Daxin Jiang (CoRR, 2025)

Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets. - Weiyu Li; Xuanyang Zhang; Zheng Sun; Di Qi; Hao Li; Wei Cheng; Weiwei Cai; Shihao Wu; Jiarui Liu; Zihao Wang; Xiao Chen; Feipeng Tian; et al. (CoRR, 2025)

STORYANCHORS: Generating Consistent Multi-Scene Story Frames for Long-Form Narratives. - Bo Wang; Haoyang Huang; Zhiying Lu; Fengyuan Liu; Guoqing Ma; Jianlong Yuan; Yuan Zhang; Nan Duan; Daxin Jiang (CoRR, 2025)

Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. - Zhaohui Yang; Chenghua He; Xiaowen Shi; Linjing Li; Qiyue Yin; Shihong Deng; Daxin Jiang (CoRR, 2025)

Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning. - Zhaohui Yang; Shilei Jiang; Chen Hu; Linjing Li; Shihong Deng; Daxin Jiang (CoRR, 2025)

Step-Audio-AQAA: a Fully End-to-End Expressive Large Audio Language Model. - Ailin Huang; Bingxin Li; Bruce Wang; Boyong Wu; Chao Yan; Chengli Feng; Heng Wang 007; Hongyu Zhou; Hongyuan Wang; Jingbei Li; Jianjian Sun; Joanna Wang; et al. (CoRR, 2025)

DGAE: Diffusion-Guided Autoencoder for Efficient Latent Representation Learning. - Dongxu Liu; Yuang Peng; Haomiao Tang; Yuwei Chen; Chunrui Han; Zheng Ge; Daxin Jiang; Mingxue Liao (CoRR, 2025)

Farseer: A Refined Scaling Law in Large Language Models. - Houyi Li; Wenzhen Zheng; Qiufeng Wang; Zhenyu Ding; Haoying Wang; Zili Wang; Shijie Xuyang; Ning Ding; Shuigeng Zhou; Xiangyu Zhang 005; Daxin Jiang (CoRR, 2025)

Can Mixture-of-Experts Surpass Dense LLMs Under Strictly Equal Resources? - Houyi Li; Ka Man Lo; Ziqi Wang; Zili Wang; Wenzhen Zheng; Shuigeng Zhou; Xiangyu Zhang 005; Daxin Jiang (CoRR, 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; Chunrui Han; et al. (CoRR, 2025)

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents. - Jiaye Lin; Yifu Guo; Yuzhen Han; Sen Hu; Ziyi Ni; Licheng Wang; Mingguang Chen; Hongzhang Liu; Ronghao Chen; Yangfan He; Daxin Jiang; Binxing Jiao; et al. (CoRR, 2025)

NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale. - Chunrui Han; Guopeng Li; Jingwei Wu; Quan Sun; Yan Cai 015; Yuang Peng; Zheng Ge; Deyu Zhou; Haomiao Tang; Hongyu Zhou; Kenkun Liu; Ailin Huang; et al. (CoRR, 2025)