PPaperPicks

Fuli Feng

89 papers at tracked venues · 71 at CORE A* · active 2024–2026

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Venues

ACL ×19SIGIR ×18WWW ×15EMNLP ×11AAAI ×5CIKM ×5SIGKDD ×5NeurIPS ×3ACM MM ×2ICLR ×2ICML ×2RecSys ×1WSDM ×1

Frequent coauthors

Xinyu Lin
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Wentao Shi
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Yimeng Bai
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Chengbing Wang
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Yiyan Xu
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Wenjie Wang
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Shihao Cai
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Xiaoyuan Li
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Shuxian Bi
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Meng Jiang
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Keqin Bao
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Jizhi Zhang
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Papers

  1. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation
    ACL 2026 ·
    Wentao Shi
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  2. AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
    SIGIR 2026 ·
    Jianfei Xiao
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  3. Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation
    SIGIR 2026 ·
    Yimeng Bai
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  4. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
    WWW 2026 ·
    Xinyu Lin
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  5. Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
    ACL 2026 ·
    Yi Fang
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  6. Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs
    AAAI 2026 ·
    Ziyi Zhao
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  7. Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search
    ACL 2026 ·
    Wentao Shi
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  8. LLM Personalization: Foundations, Breakthroughs, and Frontiers
    SIGIR 2026 ·
    Xiaoyan Zhao
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  9. MGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback
    SIGKDD 2026 ·
    Shihao Cai
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  10. MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
    ACL 2026 ·
    Xiaoyuan Li
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  11. Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
    AAAI 2026 ·
    Wuqiang Zheng
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  12. One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
    SIGIR 2026 ·
    Hongru Cai
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  13. PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
    ACL 2026 ·
    Chengbing Wang
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  14. ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation
    ACL 2026 ·
    Shuxian Bi
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  15. TROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards
    ACL 2026 ·
    Xiqiao Xiong
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  16. Verifiable Reasoning for LLM-based Generative Recommendation
    SIGIR 2026 ·
    Xinyu Lin
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  17. Agentic Feedback Loop Modeling Improves Recommendation and User Simulation
    SIGIR 2025 ·
    Shihao Cai
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  18. An LLM-based Behavior Modeling Framework for Malicious User Detection
    CIKM 2025 ·
    Meng Jiang
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  19. AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance
    CIKM 2025 ·
    Yuyang Zhao
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  20. Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge
    EMNLP 2025 ·
    Zhuo Liu
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  21. Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation
    ACL 2025 ·
    Shuxian Bi
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  22. CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
    AAAI 2025 ·
    Boyi Deng
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  23. Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation
    ACL 2025 ·
    Keqin Bao
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  24. DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
    ACM MM 2025 ·
    Yiyan Xu
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  25. Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation
    WWW 2025 ·
    Chengbing Wang
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  26. Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation
    EMNLP 2025 ·
    Chengbing Wang
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  27. Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning
    ACL 2025 ·
    Ziang Ye
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  28. Efficient Inference for Large Language Model-based Generative Recommendation
    ICLR 2025 ·
    Xinyu Lin
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  29. Examining False Positives under Inference Scaling for Mathematical Reasoning
    EMNLP 2025 ·
    Yu Wang
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  30. Fair Recommendation with Biased-Limited Sensitive Attribute
    SIGIR 2025 ·
    Jizhi Zhang
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  31. FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI
    SIGIR 2025 ·
    Fengbin Zhu
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  32. Fine-grained List-wise Alignment for Generative Medication Recommendation
    NeurIPS 2025 ·
    Chenxiao Fan
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  33. Generative Recommendation: Towards Personalized Multimodal Content Generation
    WWW 2025 ·
    Wenjie Wang
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  34. HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
    ACL 2025 ·
    Xiaoyuan Li
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  35. Heterogeneous User Modeling for LLM-based Recommendation
    RecSys 2025 ·
    Honghui Bao
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  36. IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
    NeurIPS 2025 ·
    Zijie Lin
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  37. Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective
    SIGKDD 2025 ·
    Ouxiang Li
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  38. Incremental Learning for LLM-based Tokenization and Recommendation
    CIKM 2025 ·
    Haihan Shi
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  39. K-order Ranking Preference Optimization for Large Language Models
    ACL 2025 ·
    Shihao Cai
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  40. Latent Inter-User Difference Modeling for LLM Personalization
    EMNLP 2025 ·
    Yilun Qiu
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  41. Less is More: Improving LLM Alignment via Preference Data Selection
    NeurIPS 2025 ·
    Xun Deng
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  42. Leveraging LLMs for Influence Path Planning in Proactive Recommendation
    WWW 2025 ·
    Mingze Wang
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  43. Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
    WWW 2025 ·
    Chengbing Wang
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  44. Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning
    EMNLP 2025 ·
    Jizhi Zhang
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  45. Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
    ACL 2025 ·
    Yilun Qiu
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  46. Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment
    SIGIR 2025 ·
    Xinyu Lin
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  47. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
    SIGIR 2025 ·
    Xinyu Lin
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  48. Personalized Generation In Large Model Era: A Survey
    ACL 2025 ·
    Yiyan Xu
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  49. Personalized Image Generation with Large Multimodal Models
    WWW 2025 ·
    Yiyan Xu
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  50. Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
    AAAI 2025 ·
    Meng Jiang
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  51. Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
    ACL 2025 ·
    Moxin Li
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  52. The 3rd Workshop on Personal Intelligence with Generative AI
    WWW 2025 ·
    Yang Zhang
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  53. Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance
    ACM MM 2025 ·
    Fengbin Zhu
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  54. Tunable LLM-based Proactive Recommendation Agent
    ACL 2025 ·
    Mingze Wang
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  55. Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems
    SIGIR 2025 ·
    Yimeng Bai
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  56. Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders
    ACL 2025 ·
    Boyi Deng
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  57. A3S: A General Active Clustering Method with Pairwise Constraints
    ICML 2024 ·
    Xun Deng
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  58. Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
    ICLR 2024 ·
    Haoxuan Li
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  59. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
    SIGKDD 2024 ·
    Xinyu Lin
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  60. Data-efficient Fine-tuning for LLM-based Recommendation
    SIGIR 2024 ·
    Xinyu Lin
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  61. Debiased Recommendation with Noisy Feedback
    SIGKDD 2024 ·
    Haoxuan Li
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  62. Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models
    EMNLP 2024 ·
    Keqin Bao
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  63. Denoising Diffusion Recommender Model
    SIGIR 2024 ·
    Jujia Zhao
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  64. Diffusion Models for Generative Outfit Recommendation
    SIGIR 2024 ·
    Yiyan Xu
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  65. Direct Multi-Turn Preference Optimization for Language Agents
    EMNLP 2024 ·
    Wentao Shi
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  66. Dual-Phase Accelerated Prompt Optimization
    EMNLP 2024 ·
    Muchen Yang
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  67. EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
    EMNLP 2024 ·
    Li Yang
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  68. Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
    ACL 2024 ·
    Xiaoyuan Li
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  69. Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
    SIGIR 2024 ·
    Tianhao Shi
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  70. GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting
    SIGKDD 2024 ·
    Yimeng Bai
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  71. Improving Prostate Cancer Risk Prediction through Partial AUC Optimization
    WWW 2024 ·
    Xinyuan Zhu
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  72. Item-side Fairness of Large Language Model-based Recommendation System
    WWW 2024 ·
    Meng Jiang
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  73. LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
    WSDM 2024 ·
    Yimeng Bai
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  74. Large Language Models are Learnable Planners for Long-Term Recommendation
    SIGIR 2024 ·
    Wentao Shi
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  75. Large Language Models for Recommendation: Past, Present, and Future
    SIGIR 2024 ·
    Keqin Bao
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  76. Large Language Models for Recommendation: Progresses and Future Directions
    WWW 2024 ·
    Jizhi Zhang
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  77. Learnable Item Tokenization for Generative Recommendation
    CIKM 2024 ·
    Wenjie Wang
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  78. Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
    SIGIR 2024 ·
    Zihao Zhao
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  79. Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
    WWW 2024 ·
    Wentao Shi
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  80. M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
    EMNLP 2024 ·
    Taowen Wang
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  81. On the Maximal Local Disparity of Fairness-Aware Classifiers
    ICML 2024 ·
    Jinqiu Jin
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  82. Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems
    CIKM 2024 ·
    Tianhao Shi
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  83. Proactive Recommendation with Iterative Preference Guidance
    WWW 2024 ·
    Shuxian Bi
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  84. Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
    AAAI 2024 ·
    Xinyu Lin
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  85. Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
    ACL 2024 ·
    Yang Zhang
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  86. The 2nd Workshop on Recommendation with Generative Models
    WWW 2024 ·
    Wenjie Wang
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  87. Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
    EMNLP 2024 ·
    Moxin Li
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  88. Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction
    WWW 2024 ·
    Jinqiu Jin
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  89. Uplift Modeling for Target User Attacks on Recommender Systems
    WWW 2024 ·
    Wenjie Wang
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