PPaperPicks

Ruobing Xie

49 papers at tracked venues · 33 at CORE A* · active 2024–2026

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Venues

ACL ×7EMNLP ×7AAAI ×4ACM MM ×4ICLR ×4ICML ×4NAACL ×3WWW ×3CIKM ×2RecSys ×2SIGIR ×2SIGKDD ×2CVPR ×1ICCV ×1IJCAI ×1NeurIPS ×1WSDM ×1

Frequent coauthors

Yudong Zhang
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Junjie Zhang
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Weize Chen
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Haokai Ma
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Hengyuan Zhang
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Yixing Li
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Ang Lv
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Yidan Wang
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An Wang
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Changshuo Zhang
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Songhao Wu
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Lifan Yuan
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Papers

  1. Disentangling from Collaborative and Semantic Views: Graph Collaborative Filtering for Q&A Recommendation
    SIGIR 2026 ·
    Changshuo Zhang
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  2. Find Your Optimal Teacher: Personalized Data Synthesis via Router-Guided Multi-Teacher Distillation
    ACL 2026 ·
    Hengyuan Zhang
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  3. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models
    ACL 2026 ·
    Hengyuan Zhang
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  4. TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
    AAAI 2026 ·
    Yixing Li
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  5. Union-of-Experts: Neurons in Mixture-of-Experts are Secretly Routers
    ACL 2026 ·
    Songhao Wu
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  6. Advancing LLM Reasoning Generalists with Preference Trees
    ICLR 2025 ·
    Lifan Yuan
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  7. Autonomy-of-Experts Models
    ICML 2025 ·
    Ang Lv
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  8. Continuous Speech Tokenizer in Text To Speech
    NAACL 2025 ·
    Yixing Li
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  9. Curriculum Conditioned Diffusion for Multimodal Recommendation
    AAAI 2025 ·
    Yimeng Yang
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  10. DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models
    ACM MM 2025 ·
    Yudong Zhang
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  11. Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
    AAAI 2025 ·
    Yudong Zhang
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  12. Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation
    WSDM 2025 ·
    Yidan Wang
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  13. Exploring Forgetting in Large Language Model Pre-Training
    ACL 2025 ·
    Chonghua Liao
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  14. Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
    ACM MM 2025 ·
    Yudong Zhang
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  15. Flexible Realignment of Language Models
    NeurIPS 2025 ·
    Wenhong Zhu
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  16. Frequency-Augmented Mixture-of-Heterogeneous-Experts Framework for Sequential Recommendation
    WWW 2025 ·
    Junjie Zhang
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  17. Fusing Highly Specialized Language Models for Comprehensive Expertise
    ACL 2025 ·
    Ning Ding
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  18. HMoE: Heterogeneous Mixture of Experts for Language Modeling
    EMNLP 2025 ·
    An Wang
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  19. Harnessing Multimodal Large Language Models for Personalized Product Search with Query-aware Refinement
    ACM MM 2025 ·
    Beibei Zhang
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  20. Hybrid-Tower: Fine-Grained Pseudo-Query Interaction and Generation for Text-to-Video Retrieval
    ICCV 2025 ·
    Bangxiang Lan
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  21. Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
    ICLR 2025 ·
    Weize Chen
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  22. Language Models "Grok" to Copy
    NAACL 2025 ·
    Ang Lv
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  23. Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
    ACL 2025 ·
    Yuhan Fu
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  24. Multi-Grained Patch Training for Efficient LLM-based Recommendation
    SIGIR 2025 ·
    Jiayi Liao
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  25. ORCA: Mitigating Over-Reliance for Multi-Task Dwell Time Prediction with Causal Decoupling
    CIKM 2025 ·
    Huishi Luo
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  26. PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset
    CVPR 2025 ·
    Jiazhen Liu
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  27. QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
    NAACL 2025 ·
    Yudong Zhang
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  28. Scaling Laws for Floating-Point Quantization Training
    ICML 2025 ·
    Xingwu Sun
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  29. Sparsifying Mamba
    EMNLP 2025 ·
    An Wang
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  30. The Security Threat of Compressed Projectors in Large Vision-Language Models
    EMNLP 2025 ·
    Yudong Zhang
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  31. AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
    WWW 2024 ·
    Junjie Zhang
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  32. AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
    ICLR 2024 ·
    Weize Chen
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  33. AuriSRec: Adversarial User Intention Learning in Sequential Recommendation
    EMNLP 2024 ·
    Junjie Zhang
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  34. Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication
    EMNLP 2024 ·
    Weize Chen
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  35. Content-Based Collaborative Generation for Recommender Systems
    CIKM 2024 ·
    Yidan Wang
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  36. Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
    EMNLP 2024 ·
    Yiju Guo
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  37. DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
    SIGKDD 2024 ·
    Yiqing Wu
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  38. Exploring the Benefit of Activation Sparsity in Pre-training
    ICML 2024 ·
    Zhengyan Zhang
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  39. Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback
    SIGKDD 2024 ·
    Guipeng Xv
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  40. MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
    ACL 2024 ·
    Xiaozhi Wang
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  41. Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference
    EMNLP 2024 ·
    Jianxing Yu
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  42. Multimodal Conditioned Diffusion Model for Recommendation
    WWW 2024 ·
    Haokai Ma
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  43. PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
    ACM MM 2024 ·
    Yudong Zhang
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  44. Plug-In Diffusion Model for Sequential Recommendation
    AAAI 2024 ·
    Haokai Ma
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  45. SeeDRec: Sememe-based Diffusion for Sequential Recommendation
    IJCAI 2024 ·
    Haokai Ma
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  46. The Elephant in the Room: Rethinking the Usage of Pre-trained Language Model in Sequential Recommendation
    RecSys 2024 ·
    Zekai Qu
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  47. ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
    ICLR 2024 ·
    Yujia Qin
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  48. Towards Empathetic Conversational Recommender Systems
    RecSys 2024 ·
    Xiaoyu Zhang
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  49. ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
    ICML 2024 ·
    Ganqu Cui
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