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Xueqi Cheng

Chinese Academy of Sciences, Institute of Computing Technology, State Key Lab of AI Safety, Beijing, China

126 papers at tracked venues · 81 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-5201-8195 ↗Google Scholar ↗

Venues

ACL ×38EMNLP ×22SIGIR ×14WWW ×8AAAI ×5CIKM ×5ICLR ×5NAACL ×5ECIR ×4NeurIPS ×4WSDM ×3ICDE ×2SIGKDD ×2ACM MM ×1CSCW ×1CVPR ×1EACL ×1ECAI ×1ECML-PKDD ×1ICCV ×1RecSys ×1SDM ×1

Frequent coauthors

Shicheng Xu
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Yu-An Liu
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Kaike Zhang
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Lingrui Mei
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Yubao Tang
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Baolong Bi
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Yige Yuan
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Hengran Zhang
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Hexiang Tan
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Zixu Wang
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Zhaodan Zhang
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Mingkun Zhang
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Papers

  1. AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning
    SIGIR 2026 ·
    Hongru Song
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  2. An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs
    ACL 2026 ·
    Hengran Zhang
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  3. AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
    SIGIR 2026 ·
    Kaike Zhang
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  4. BaseCal: Unsupervised Confidence Calibration via Base Model Signals
    ACL 2026 ·
    Hexiang Tan
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  5. Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents
    ACL 2026 ·
    Miao Su
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  6. Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation
    ACL 2026 ·
    Xin Liu
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  7. D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
    WWW 2026 ·
    Jia Gu
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  8. Detoxification for LLM: From Dataset Itself
    ACL 2026 ·
    Wei Shao
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  9. Distilling Large Embeddings via Hyperspherical Householder Quantization
    ACL 2026 ·
    Yihang Wang
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  10. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
    ACL 2026 ·
    Zixu Wang
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  11. Event-Aware Video Corpus Moment Retrieval
    ECIR 2026 ·
    Danyang Hou
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  12. Fairness at a Glance: Can We Audit Model Fairness Before Training Completes?
    WWW 2026 ·
    Yuanhao Liu
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  13. Gated Differentiable Working Memory for Long-Context Language Modeling
    ACL 2026 ·
    Lingrui Mei
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  14. HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
    ACL 2026 ·
    Lingrui Mei
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  15. How Do LLM-Generated Texts Impact Term-Based Retrieval Models?
    WSDM 2026 ·
    Wei Huang
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  16. Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection
    WSDM 2026 ·
    Weicheng Ren
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  17. Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale
    SIGIR 2026 ·
    Xin Liu
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  18. Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration
    EACL 2026 ·
    Guangxin Wu
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  19. LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models
    WWW 2026 ·
    Changjiang Zhou
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  20. Lost in Decomposition: Analyzing and Mitigating the Limitations of Long Context Methods via Context Dependency
    ACL 2026 ·
    Jiayuan Guo
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  21. Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning
    ACL 2026 ·
    Zhaodan Zhang
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  22. One-Pass Decoding for Generative Recommendation with WFST-Constrained A* Search
    SIGIR 2026 ·
    Puji Wang
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  23. Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification
    ACL 2026 ·
    Zenghao Duan
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  24. RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
    AAAI 2026 ·
    Shicheng Xu
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  25. Rethinking Implicit Hate Speech Detection: Focusing on Latent Hate Components via Dual-Process Argumentation
    WWW 2026 ·
    Shiqi Sun
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  26. RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning
    ACL 2026 ·
    Yucan Guo
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  27. Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution
    ACL 2026 ·
    Shuangjie Fu
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  28. Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models
    ACL 2026 ·
    Yu-An Liu
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  29. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
    ACL 2026 ·
    Zihao Wei
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  30. Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning
    AAAI 2026 ·
    Wenda Wei
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  31. Towards Knowledgeable Deep Research: Framework and Benchmark
    SIGIR 2026 ·
    Wenxuan Liu
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  32. Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization
    ECIR 2026 ·
    Yan Lei
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  33. a1: Steep Test-time Scaling Law via Environment Augmented Generation
    ACL 2026 ·
    Lingrui Mei
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  34. 'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems
    CSCW 2025 ·
    Yuanhao Liu
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  35. A Generative Framework for Personalized Sticker Retrieval
    EMNLP 2025 ·
    Changjiang Zhou
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  36. A Survey of Link Prediction in N-ary Knowledge Graphs
    EMNLP 2025 ·
    Jiyao Wei
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  37. A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
    ICLR 2025 ·
    Shicheng Xu
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  38. ALiiCE: Evaluating Positional Fine-grained Citation Generation
    NAACL 2025 ·
    Yilong Xu
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  39. Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models
    AAAI 2025 ·
    Yu-An Liu
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  40. BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
    SIGKDD 2025 ·
    Zezhi Shao
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  41. BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training
    EMNLP 2025 ·
    WenJie Zhou
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  42. Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach
    SIGIR 2025 ·
    Yubao Tang
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  43. BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection
    ECML-PKDD 2025 ·
    Boshen Shi
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  44. Bridging Queries and Tables through Entities in Open-Domain Table Retrieval
    CIKM 2025 ·
    Da Li
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  45. CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification
    ICLR 2025 ·
    Mingkun Zhang
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  46. Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
    ACL 2025 ·
    Yuyao Ge
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  47. Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
    ICLR 2025 ·
    Shicheng Xu
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  48. Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
    ACL 2025 ·
    Baolong Bi
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  49. Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective
    ACL 2025 ·
    Yuchen Wen
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  50. Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
    ICLR 2025 ·
    Jingcheng Deng
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  51. Fact-Level Calibration and Correction for Long-Form Generations
    SIGIR 2025 ·
    Yige Yuan
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  52. Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
    EMNLP 2025 ·
    Jingcheng Deng
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  53. G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models
    ACL 2025 ·
    Long Bai
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  54. Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos
    ACM MM 2025 ·
    Haowen Gao
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  55. Generative Retrieval for Book Search
    SIGKDD 2025 ·
    Yubao Tang
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  56. Inference-time Alignment in Continuous Space
    NeurIPS 2025 ·
    Yige Yuan
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  57. InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
    SIGIR 2025 ·
    Zixu Wang
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  58. Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
    ICLR 2025 ·
    Baolong Bi
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  59. Jailbreak LLMs through Internal Stance Manipulation
    EMNLP 2025 ·
    Shuangjie Fu
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  60. KnowCoder-X: Boosting Multilingual Information Extraction via Code
    ACL 2025 ·
    Yuxin Zuo
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  61. Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation
    CIKM 2025 ·
    Kangzhuo Chen
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  62. Low-Entropy Watermark Detection via Bayes' Rule Derived Detector
    ACL 2025 ·
    Beining Huang
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  63. MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework
    EMNLP 2025 ·
    Zhaodan Zhang
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  64. MPVStance: Mitigating Hallucinations in Stance Detection with Multi-Perspective Verification
    ACL 2025 ·
    Zhaodan Zhang
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  65. MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching
    ECIR 2025 ·
    Wanqing Cui
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  66. NAPPure: Adversarial Purification for Robust Image Classification Under Non-Additive Perturbations
    ICCV 2025 ·
    Junjie Nan
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  67. On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective
    ECIR 2025 ·
    Yu-An Liu
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  68. On the Scaling of Robustness and Effectiveness in Dense Retrieval
    SIGIR 2025 ·
    Yu-An Liu
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  69. Personalized Denoising Implicit Feedback for Robust Recommender System
    WWW 2025 ·
    Kaike Zhang
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  70. QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory
    EMNLP 2025 ·
    Yihang Wang
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  71. Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject
    NAACL 2025 ·
    Zenghao Duan
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  72. SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs
    NAACL 2025 ·
    Zhichao Shi
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  73. Speculative Safety-Aware Decoding
    EMNLP 2025 ·
    Xuekang Wang
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  74. T-MAD: Target-driven Multimodal Alignment for Stance Detection
    EMNLP 2025 ·
    ZhaoDan Zhang
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  75. Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective
    EMNLP 2025 ·
    Da Li
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  76. Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation
    NAACL 2025 ·
    Gao yu Zhu
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  77. The Mirage of Model Editing: Revisiting Evaluation in the Wild
    ACL 2025 ·
    Wanli Yang
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  78. The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
    ACL 2025 ·
    Hongru Song
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  79. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
    EMNLP 2025 ·
    Hexiang Tan
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  80. ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
    ACL 2025 ·
    Hanxing Ding
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  81. Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction
    EMNLP 2025 ·
    Wenxuan Liu
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  82. Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
    ACL 2025 ·
    Shiyu Ni
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  83. Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution
    ACL 2025 ·
    Jizhao Zhu
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  84. Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
    EMNLP 2025 ·
    Yilong Xu
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  85. Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance
    WWW 2025 ·
    Lulu Yu
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  86. Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation
    EMNLP 2025 ·
    Hengran Zhang
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  87. Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
    EMNLP 2025 ·
    Jiayu Yao
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  88. A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval
    WSDM 2024 ·
    Xiaojie Sun
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  89. Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
    EMNLP 2024 ·
    Baolong Bi
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  90. Are Large Language Models Good at Utility Judgments?
    SIGIR 2024 ·
    Hengran Zhang
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  91. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
    ACL 2024 ·
    Hexiang Tan
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  92. Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
    ACL 2024 ·
    Yubao Tang
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  93. CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
    NeurIPS 2024 ·
    Mingkun Zhang
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  94. Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information
    ECAI 2024 ·
    Mingkun Zhang
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  95. Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
    EMNLP 2024 ·
    Lu Chen
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  96. Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
    EMNLP 2024 ·
    Kangxi Wu
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  97. FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks
    CIKM 2024 ·
    Guoxin Chen
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  98. GaQR: An Efficient Generation-augmented Question Rewriter
    CIKM 2024 ·
    Oliver Young
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  99. Generative Retrieval Meets Multi-Graded Relevance
    NeurIPS 2024 ·
    Yubao Tang
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  100. Graph Summarization for Preserving Spectral Characteristics
    SDM 2024 ·
    Houquan Zhou
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  101. Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
    RecSys 2024 ·
    Kaike Zhang
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  102. Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
    SIGIR 2024 ·
    Shicheng Xu
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  103. KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction
    ACL 2024 ·
    Zixuan Li
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  104. LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
    EMNLP 2024 ·
    Sihui Yang
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  105. LPNL: Scalable Link Prediction with Large Language Models
    ACL 2024 ·
    Baolong Bi
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  106. List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
    WWW 2024 ·
    Shicheng Xu
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  107. LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation
    SIGIR 2024 ·
    Kaike Zhang
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  108. Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
    CIKM 2024 ·
    Saiping Guan
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  109. MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning
    ACL 2024 ·
    Wanqing Cui
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  110. Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract]
    ICDE 2024 ·
    Weixin Zeng
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  111. Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
    SIGIR 2024 ·
    Yu-An Liu
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  112. Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
    SIGIR 2024 ·
    Zixu Wang
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  113. PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
    AAAI 2024 ·
    Yige Yuan
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  114. Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
    AAAI 2024 ·
    Yu-An Liu
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  115. Plot Retrieval as an Assessment of Abstract Semantic Association
    ACL 2024 ·
    Shicheng Xu
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  116. Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
    EMNLP 2024 ·
    Weichao Zhang
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  117. RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts
    EMNLP 2024 ·
    Yuanzheng Wang
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  118. SACH: Significant-Attributed Community Search in Heterogeneous Information Networks
    ICDE 2024 ·
    Yanghao Liu
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  119. SLANG: New Concept Comprehension of Large Language Models
    EMNLP 2024 ·
    Lingrui Mei
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  120. Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
    WWW 2024 ·
    Shicheng Xu
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  121. TEA: Test-Time Energy Adaptation
    CVPR 2024 ·
    Yige Yuan
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  122. The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
    ACL 2024 ·
    Wanli Yang
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  123. Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
    NAACL 2024 ·
    Junkai Zhou
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  124. Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
    NeurIPS 2024 ·
    Kaike Zhang
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  125. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
    ACL 2024 ·
    Shicheng Xu
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  126. When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation
    ACL 2024 ·
    Shiyu Ni
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