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Pengjie Ren

33 papers at tracked venues · 20 at CORE A* · active 2024–2026

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Venues

ACL ×7EMNLP ×7SIGIR ×5AAAI ×2ICLR ×2WSDM ×2WWW ×2CIKM ×1ECIR ×1ICRA ×1NeurIPS ×1RecSys ×1SIGKDD ×1

Frequent coauthors

Mengqi Zhang
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Zhengliang Shi
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Zhen Zhang
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Shiguang Wu
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Ziqi Zhao
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Yougang Lyu
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Shen Gao
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Chi Zhang
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Wentao Deng
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Minghang Zhu
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Wenhao Zhang
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Haochen Wang
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Papers

  1. Model Editing for New Document Integration in Generative Information Retrieval
    WWW 2026 ·
    Zhen Zhang
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  2. Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse
    ACL 2026 ·
    Chi Zhang
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  3. Belief-Calibrated Multi-Agent Consensus Seeking for Complex NLP Tasks
    NeurIPS 2025 ·
    Wentao Deng
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  4. Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems
    EMNLP 2025 ·
    Minghang Zhu
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  5. Constrained Auto-Regressive Decoding Constrains Generative Retrieval
    SIGIR 2025 ·
    Shiguang Wu
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  6. ExcluIR: Exclusionary Neural Information Retrieval
    AAAI 2025 ·
    Wenhao Zhang
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  7. Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
    SIGIR 2025 ·
    Ziqi Zhao
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  8. Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control
    ICRA 2025 ·
    Haochen Wang
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  9. KELE: Residual Knowledge Erasure for Enhanced Multi-hop Reasoning in Knowledge Editing
    EMNLP 2025 ·
    Mengqi Zhang
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  10. MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
    ICLR 2025 ·
    Yougang Lyu
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  11. Malevolence Attacks Against Pretrained Dialogue Models
    ECIR 2025 · Pengjie Ren
  12. Offline Trajectory Optimization for Offline Reinforcement Learning
    SIGKDD 2025 ·
    Ziqi Zhao
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  13. Replication and Exploration of Generative Retrieval over Dynamic Corpora
    SIGIR 2025 ·
    Zhen Zhang
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  14. Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models
    ACL 2025 ·
    Zhengliang Shi
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  15. Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential Recommendation
    SIGIR 2025 ·
    Wei Wang
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  16. Trustworthy Medical Question Answering: An Evaluation-Centric Survey
    EMNLP 2025 ·
    Yinuo Wang
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  17. UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets
    EMNLP 2025 ·
    Wenyu Wang
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  18. Uncovering Overfitting in Large Language Model Editing
    ICLR 2025 ·
    Mengqi Zhang
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  19. Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality
    ACL 2024 ·
    Jiahuan Pei
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  20. Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
    AAAI 2024 ·
    Shen Gao
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  21. Content-Based Collaborative Generation for Recommender Systems
    CIKM 2024 ·
    Yidan Wang
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  22. Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
    WSDM 2024 ·
    Jiyuan Yang
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  23. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering
    ACL 2024 ·
    Zhengliang Shi
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  24. Generative News Recommendation
    WWW 2024 ·
    Shen Gao
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  25. Generative Retrieval as Multi-Vector Dense Retrieval
    SIGIR 2024 ·
    Shiguang Wu
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  26. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
    EMNLP 2024 ·
    Yougang Lyu
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  27. Knowledge Graph Enhanced Large Language Model Editing
    EMNLP 2024 ·
    Mengqi Zhang
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  28. Learning to Use Tools via Cooperative and Interactive Agents
    EMNLP 2024 ·
    Zhengliang Shi
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  29. MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter
    ACL 2024 ·
    Jitai Hao
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  30. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
    ACL 2024 · Pengjie Ren
  31. On the Effectiveness of Unlearning in Session-Based Recommendation
    WSDM 2024 ·
    Xin Xin
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  32. Self-Supervised Position Debiasing for Large Language Models
    ACL 2024 ·
    Zhongkun Liu
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  33. Towards Empathetic Conversational Recommender Systems
    RecSys 2024 ·
    Xiaoyu Zhang
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