Ruqing Zhang

Orcid: 0000-0003-4294-2541

Affiliations:
  • Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China


According to our database1, Ruqing Zhang authored at least 76 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Listwise Generative Retrieval Models via a Sequential Learning Process.
ACM Trans. Inf. Syst., September, 2024

A Claim Decomposition Benchmark for Long-form Answer Verification.
CoRR, 2024

On the Capacity of Citation Generation by Large Language Models.
CoRR, 2024

Generative Retrieval Meets Multi-Graded Relevance.
CoRR, 2024

Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective.
CoRR, 2024

CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks.
CoRR, 2024

A Unified Causal View of Instruction Tuning.
CoRR, 2024

Recent Advances in Generative Information Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Are Large Language Models Good at Utility Judgments?
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Recent Advances in Generative Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Robust Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Text Matching Indexers in Taobao Search.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation.
Proceedings of the Advances in Information Retrieval, 2024

GaQR: An Efficient Generation-augmented Question Rewriter.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023.
SIGIR Forum, December, 2023

PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models.
ACM Trans. Inf. Syst., October, 2023

Are Neural Ranking Models Robust?
ACM Trans. Inf. Syst., April, 2023

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval.
CoRR, 2023

On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective.
CoRR, 2023

Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval.
CoRR, 2023

Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

[email protected] 2023: The First Workshop on Generative Information Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Recent Advances in Generative Information Retrieval.
Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2023

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompt Tuning with Contradictory Intentions for Sarcasm Recognition.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Inducing Causal Structure for Abstractive Text Summarization.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Continual Learning for Generative Retrieval over Dynamic Corpora.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A Review on Question Generation from Natural Language Text.
ACM Trans. Inf. Syst., 2022

Semantic Models for the First-Stage Retrieval: A Comprehensive Review.
ACM Trans. Inf. Syst., 2022

Pre-training Methods in Information Retrieval.
Found. Trends Inf. Retr., 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
CoRR, 2022

LegoNet: A Fast and Exact Unlearning Architecture.
CoRR, 2022

A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval.
CoRR, 2022

A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration.
CoRR, 2022

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

GERE: Generative Evidence Retrieval for Fact Verification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Visual Named Entity Linking: A New Dataset and A Baseline.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Discriminative Language Model via Self-Teaching for Dense Retrieval.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations.
Proceedings of the Information Retrieval - 28th China Conference, 2022

2021
Pre-training Methods in Information Retrieval.
CoRR, 2021

A Linguistic Study on Relevance Modeling in Information Retrieval.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Beyond Relevance: Trustworthy Answer Selection via Consensus Verification.
Proceedings of the WSDM '21, 2021

PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the WSDM '21, 2021

B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

A Discriminative Semantic Ranker for Question Retrieval.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

FedMatch: Federated Learning Over Heterogeneous Question Answering Data.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Learning to Truncate Ranked Lists for Information Retrieval.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Dual-factor Generation Model for Conversation.
ACM Trans. Inf. Syst., 2020

Match<sup>2</sup>: A Matching over Matching Model for Similar Question Identification.
CoRR, 2020

Match²: A Matching over Matching Model for Similar Question Identification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Query Understanding via Intent Description Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Continual Domain Adaptation for Machine Reading Comprehension.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Structure Learning for Headline Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Outline Generation: Understanding the Inherent Content Structure of Documents.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

An Adaptive Framework for Conversational Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Aggregating Neural Word Embeddings for Document Representation.
Proceedings of the Advances in Information Retrieval, 2018

Spherical Paragraph Model.
Proceedings of the Advances in Information Retrieval, 2018

Question Headline Generation for News Articles.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Generative Paragraph Vector.
Proceedings of the Information Retrieval - 24th China Conference, 2018

Learning to Control the Specificity in Neural Response Generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018


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