Learning to Control the Specificity in Neural Response Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ACL (1), 2018)

Generative Paragraph Vector. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CCIR, 2018)

Question Headline Generation for News Articles. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Jun Xu 001; Huanhuan Cao; Xueqi Cheng (CIKM, 2018)

Spherical Paragraph Model. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2018)

Aggregating Neural Word Embeddings for Document Representation. - Ruqing Zhang 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ECIR, 2018)

An Adaptive Framework for Conversational Question Answering. - Lixin Su; Jiafeng Guo; Yixing Fan; Yanyan Lan; Ruqing Zhang 001; Xueqi Cheng (AAAI, 2019)

Outline Generation: Understanding the Inherent Content Structure of Documents. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (SIGIR, 2019)

Structure Learning for Headline Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (AAAI, 2020)

Continual Domain Adaptation for Machine Reading Comprehension. - Lixin Su; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Yanyan Lan; Xueqi Cheng (CIKM, 2020)

Query Understanding via Intent Description Generation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (CIKM, 2020)

Match²: A Matching over Matching Model for Similar Question Identification. - Zizhen Wang; Yixing Fan; Jiafeng Guo; Liu Yang 005; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng; Hui Jiang; Xiaozhao Wang (SIGIR, 2020)

Match2: A Matching over Matching Model for Similar Question Identification. - Zizhen Wang; Yixing Fan; Jiafeng Guo; Liu Yang 005; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng; Hui Jiang; Xiaozhao Wang (CoRR, 2020)

Dual-factor Generation Model for Conversation. - Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (ACM Trans. Inf. Syst., 2020)

Learning to Truncate Ranked Lists for Information Retrieval. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Yanyan Lan; Xueqi Cheng (AAAI, 2021)

FedMatch: Federated Learning Over Heterogeneous Question Answering Data. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2021)

A Discriminative Semantic Ranker for Question Retrieval. - Yinqiong Cai; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng (ICTIR, 2021)

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Yingyan Li; Xueqi Cheng (SIGIR, 2021)

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xiang Ji; Xueqi Cheng (WSDM, 2021)

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. - Lixin Su; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Jiangui Chen; Yanyan Lan; Xueqi Cheng (WSDM, 2021)

A Linguistic Study on Relevance Modeling in Information Retrieval. - Yixing Fan; Jiafeng Guo; Xinyu Ma; Ruqing Zhang 001; Yanyan Lan; Xueqi Cheng (WWW, 2021)

Pre-training Methods in Information Retrieval. - Yixing Fan; Xiaohui Xie; Yinqiong Cai; Jia Chen 003; Xinyu Ma; Xiangsheng Li; Ruqing Zhang 001; Jiafeng Guo; Yiqun Liu 001 (CoRR, 2021)

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. - Yan Xiao; Yixing Fan; Ruqing Zhang 001; Jiafeng Guo (CCIR, 2022)

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. - Yinqiong Cai; Jiafeng Guo; Yixing Fan; Qingyao Ai; Ruqing Zhang 001; Xueqi Cheng (CIKM, 2022)

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yiqun Liu 001; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Discriminative Language Model via Self-Teaching for Dense Retrieval. - Lu Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xueqi Cheng (CIKM, 2022)

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. - Xinyu Ma; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CIKM, 2022)

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Wei Chen 034; Yixing Fan; Maarten de Rijke; Xueqi Cheng (CIKM, 2022)

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. - Sihao Yu; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Zizhen Wang; Xueqi Cheng (CVPR, 2022)

Visual Named Entity Linking: A New Dataset and A Baseline. - Wen Sun; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (EMNLP (Findings), 2022)

GERE: Generative Evidence Retrieval for Fact Verification. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (SIGIR, 2022)

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. - Xinyu Ma; Jiafeng Guo; Ruqing Zhang 001; Yixing Fan; Xueqi Cheng (SIGIR, 2022)

A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration. - Shaojie Jiang; Ruqing Zhang 001; Svitlana Vakulenko; Maarten de Rijke (CoRR, 2022)

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. - Xinyu Ma; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (CoRR, 2022)

LegoNet: A Fast and Exact Unlearning Architecture. - Sihao Yu; Fei Sun 001; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2022)

Visual Named Entity Linking: A New Dataset and A Baseline. - Wenxiang Sun; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2022)

Pre-training Methods in Information Retrieval. - Yixing Fan; Xiaohui Xie; Yinqiong Cai; Jia Chen 003; Xinyu Ma; Xiangsheng Li; Ruqing Zhang 001; Jiafeng Guo (Found. Trends Inf. Retr., 2022)

Semantic Models for the First-Stage Retrieval: A Comprehensive Review. - Jiafeng Guo; Yinqiong Cai; Yixing Fan; Fei Sun 001; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

A Review on Question Generation from Natural Language Text. - Ruqing Zhang 001; Jiafeng Guo; Lu Chen; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

Continual Learning for Generative Retrieval over Dynamic Corpora. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (CIKM, 2023)

Inducing Causal Structure for Abstractive Text Summarization. - Lu Chen; Ruqing Zhang 001; Wei Huang; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (CIKM, 2023)

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (CIKM, 2023)

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. - Yiyi Liu; Ruqing Zhang 001; Yixing Fan; Jiafeng Guo; Xueqi Cheng (EACL, 2023)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. - Hengran Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (EMNLP (Findings), 2023)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Jiangui Chen; Zuowei Zhu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD, 2023)

Recent Advances in Generative Information Retrieval. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke (SIGIR-AP, 2023)

[email protected] 2023: The First Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler (SIGIR, 2023)

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. - Jiangui Chen; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yiqun Liu 001; Yixing Fan; Xueqi Cheng (SIGIR, 2023)

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Yixing Fan; Xueqi Cheng (SIGIR, 2023)

Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler (CoRR, 2023)

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Wei Chen 034; Xueqi Cheng (CoRR, 2023)

Are Neural Ranking Models Robust? - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2023)

PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. - Chen Wu; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (ACM Trans. Inf. Syst., 2023)

Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Romain Deffayet; Philipp Hager; Sami Jullien (SIGIR Forum, 2023)

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. - Yu-An Liu 028; Ruqing Zhang 001; Mingkun Zhang; Wei Chen 034; Maarten de Rijke; Jiafeng Guo; Xueqi Cheng (AAAI, 2024)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (ACL (Findings), 2024)

On the Capacity of Citation Generation by Large Language Models. - Haosheng Qian; Yixing Fan; Ruqing Zhang 001; Jiafeng Guo (CCIR, 2024)

A Claim Decomposition Benchmark for Long-Form Answer Verification. - Zhihao Zhang; Yixing Fan; Ruqing Zhang 001; Jiafeng Guo (CCIR, 2024)

GaQR: An Efficient Generation-augmented Question Rewriter. - Oliver Young; Yixing Fan; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Xueqi Cheng (CIKM, 2024)

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. - Run-Ze Fan; Yixing Fan; Jiangui Chen; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (ECIR (1), 2024)

Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. - Lu Chen; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan; Xueqi Cheng (EMNLP (Findings), 2024)

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. - Yuanzheng Wang; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (EMNLP, 2024)

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. - Weichao Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (EMNLP, 2024)

Text Matching Indexers in Taobao Search. - Sen Li 001; Fuyu Lv; Ruqing Zhang 001; Dan Ou; Zhixuan Zhang; Maarten de Rijke (KDD, 2024)

Generative Retrieval Meets Multi-Graded Relevance. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Xueqi Cheng (NeurIPS, 2024)

Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Ziyan Jiang (SIGIR, 2024)

Robust Information Retrieval. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke (SIGIR, 2024)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2024)

Recent Advances in Generative Information Retrieval. - Yubao Tang; Ruqing Zhang 001; Zhaochun Ren; Jiafeng Guo; Maarten de Rijke (SIGIR, 2024)

Are Large Language Models Good at Utility Judgments? - Hengran Zhang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2024)

Recent Advances in Generative Information Retrieval. - Yubao Tang; Ruqing Zhang 001; Weiwei Sun 001; Jiafeng Guo; Maarten de Rijke (WWW (Companion Volume), 2024)

A Unified Causal View of Instruction Tuning. - Lu Chen; Wei Huang; Ruqing Zhang 001; Wei Chen 034; Jiafeng Guo; Xueqi Cheng (CoRR, 2024)

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. - Jiafeng Guo; Changjiang Zhou; Ruqing Zhang 001; Jiangui Chen; Maarten de Rijke; Yixing Fan; Xueqi Cheng (CoRR, 2024)

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (CoRR, 2024)

On the Robustness of Generative Information Retrieval Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (CoRR, 2024)

Listwise Generative Retrieval Models via a Sequential Learning Process. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Wei Chen 034; Xueqi Cheng (ACM Trans. Inf. Syst., 2024)

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (AAAI, 2025)

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. - Hongru Song; Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Jianming Lv; Maarten de Rijke; Xueqi Cheng (ACL (Findings), 2025)

On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Changjiang Zhou; Maarten de Rijke; Xueqi Cheng (ECIR (2), 2025)

Generative Retrieval for Book Search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (KDD (1), 2025)

On the Scaling of Robustness and Effectiveness in Dense Retrieval. - Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2025)

Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval. - Yu-An Liu 028; Haya Nachimovsky; Ruqing Zhang 001; Oren Kurland; Jiafeng Guo; Moshe Tennenholtz (SIGIR, 2025)

Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Yixing Fan; Xueqi Cheng (SIGIR, 2025)

An Empirical Study of Evaluating Long-form Question Answering. - Ning Xian; Yixing Fan; Ruqing Zhang 001; Maarten de Rijke; Jiafeng Guo (SIGIR, 2025)

Generative Retrieval for Book search. - Yubao Tang; Ruqing Zhang 001; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqing Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

TrustRAG: An Information Assistant with Retrieval Augmented Generation. - Yixing Fan; Qiang Yan 001; Wenshan Wang; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2025)

GSM-EL: A Generalizable Symbol-Manipulation Approach for Entity Linking. - Xueqi Cheng; Yuanzheng Wang; Yixing Fan; Jiafeng Guo; Ruqing Zhang 001; Keping Bi (IEEE Trans. Knowl. Data Eng., 2025)

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. - Jiafeng Guo; Yinqiong Cai; Keping Bi; Yixing Fan; Wei Chen 034; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2025)

Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems. - Hongru Song; Yu-An Liu 028; Ruqing Zhang 001; Jiafeng Guo; Yixing Fan (CoRR, 2025)