Ruqing Zhang
21 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (60) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Keyword Champion
π€
Dynamic Duo
(21)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(121)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Natural Language Processing
(13)
Core AI
(13)
Deep Learning
(10)
Applications Β· Natural Language Processing
(10)
Learning Types Β· Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Architectures
(5)
Data Science & Analytics
(4)
Application Areas
(4)
Applications Β· Data Science & Analytics
(4)
Optimization & Theory
(3)
Computer Science
(2)
Keywords
information retrieval
(5)
retrieval-augmented generation
(4)
generative retrieval
(3)
entity disambiguation
(2)
neural ranking model
(2)
contrastive learning
(2)
document retrieval
(2)
knowledge base
(2)
zero-shot retrieval
(2)
large language model
(2)
document identifier
(2)
claim verification
(1)
neural network training
(1)
entity linking
(1)
fact verification
(1)
attention mechanism
(1)
adversarial robustness
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
semantic analysis
(1)
Papers
Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation
ACL 2026
Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models
ACL 2026
Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
AAAI 2026
A Generative Framework for Personalized Sticker Retrieval
EMNLP 2025
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
AAAI 2025
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
ACL 2025
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
ACL 2024
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
EMNLP 2024
Generative Retrieval Meets Multi-Graded Relevance
NeurIPS 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
AAAI 2024
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
EMNLP 2024
RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
EMNLP 2024
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
EMNLP 2023
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition
EACL 2023
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty
CVPR 2022
Euphemism Detection by Transformers and Relational Graph Attention Network
EMNLP 2022
Visual Named Entity Linking: A New Dataset and A Baseline
EMNLP 2022
Learning to Truncate Ranked Lists for Information Retrieval
AAAI 2021
Structure Learning for Headline Generation
AAAI 2020
An Adaptive Framework for Conversational Question Answering
AAAI 2019
Learning to Control the Specificity in Neural Response Generation
ACL 2018