| 2026 | ACL | Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation. | Xin Liu, Yu-An Liu, Ruqing Zhang, Yixing Fan, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Hongru Song, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2026 | WWW | LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | AAAI | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | COLING | MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation. | Yihang Wang, Bowen Tian, Yueyang Su, Yixing Fan, Jiafeng Guo |
| 2025 | EMNLP | QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. | Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2025 | SIGIR | On the Scaling of Robustness and Effectiveness in Dense Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | An Empirical Study of Evaluating Long-form Question Answering. | Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo |
| 2024 | ACL | Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | CIKM | GaQR: An Efficient Generation-augmented Question Rewriter. | Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng |
| 2024 | ECIR | RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. | Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | EMNLP | Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2024 | EMNLP | RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. | Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | EMNLP | Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. | Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Are Large Language Models Good at Utility Judgments? | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. | Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng |
| 2023 | CIKM | Continual Learning for Generative Retrieval over Dynamic Corpora. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu |
| 2023 | EACL | Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. | Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2023 | EMNLP | From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. | Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng |
| 2022 | CIKM | CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Discriminative Language Model via Self-Teaching for Dense Retrieval. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. | Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng |
| 2022 | CVPR | A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. | Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng |
| 2022 | EMNLP | Visual Named Entity Linking: A New Dataset and A Baseline. | Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2022 | IJCAI | MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. | Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo |
| 2022 | SIGIR | GERE: Generative Evidence Retrieval for Fact Verification. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | SIGIR | Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2021 | AAAI | Learning to Truncate Ranked Lists for Information Retrieval. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2021 | CIKM | FedMatch: Federated Learning Over Heterogeneous Question Answering Data. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2021 | ICTIR | A Discriminative Semantic Ranker for Question Retrieval. | Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | WWW | A Linguistic Study on Relevance Modeling in Information Retrieval. | Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | SIGIR | B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng |
| 2021 | WSDM | PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2021 | WSDM | Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. | Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
| 2020 | AAAI | Structure Learning for Headline Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | ACML | Bidirectional Dependency-Guided Attention for Relation Extraction. | Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang |
| 2020 | CIKM | Continual Domain Adaptation for Machine Reading Comprehension. | Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | CIKM | Query Understanding via Intent Description Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | SIGIR | Match²: A Matching over Matching Model for Similar Question Identification. | Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang |
| 2020 | WSDM | Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | An Adaptive Framework for Conversational Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng |
| 2019 | ICTAI | Multi-graph Convolution Network with Jump Connection for Event Detection. | Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan |
| 2019 | SIGIR | MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. | Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2019 | SIGIR | Controlling Risk of Web Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | SIGIR | Outline Generation: Understanding the Inherent Content Structure of Documents. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | WSDM | DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. | Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo |
| 2018 | ACL | Learning to Control the Specificity in Neural Response Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Question Headline Generation for News Articles. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | SIGIR | Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2016 | CIKM | A Deep Relevance Matching Model for Ad-hoc Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |
| 2016 | CIKM | Semantic Matching by Non-Linear Word Transportation for Information Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |