PPaperPicks

Wenjie Wang

National University of Singapore, Singapore

86 papers at tracked venues · 76 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment
  2. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
  3. Controllable LLM Reasoning via Sparse Autoencoder-Based Steering
  4. LLM Personalization: Foundations, Breakthroughs, and Frontiers
  5. MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation
  6. Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning
  7. Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning
  8. One Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment
  9. PERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models
  10. Parallel Test-Time Scaling for Latent Reasoning Models
  11. ReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation
  12. Unifying Diversity and Fairness in Re-ranking via Economic Growth Theory
  13. Unveiling and Simulating Short-Video Addiction Behaviors via Economic Addiction Theory
  14. Verifiable Reasoning for LLM-based Generative Recommendation
  15. A Federated Framework for LLM-based Recommendation
  16. An LLM-based Behavior Modeling Framework for Malicious User Detection
  17. Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation
  18. Collaboration of Large Language Models and Small Recommendation Models for Device-Cloud Recommendation
  19. Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation
  20. CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG
  21. Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation
  22. DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
  23. Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation
  24. EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
  25. Efficient Inference for Large Language Model-based Generative Recommendation
  26. Exploring Training and Inference Scaling Laws in Generative Retrieval
  27. FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models
  28. Generative Recommendation: Towards Personalized Multimodal Content Generation
    WWW 2025 · Wenjie Wang
  29. HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning
  30. Heterogeneous User Modeling for LLM-based Recommendation
  31. Incremental Learning for LLM-based Tokenization and Recommendation
  32. International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025)
  33. LLM-based Search Assistant with Holistically Guided MCTS for Intricate Information Seeking
  34. Large Language Models Empowered Personalized Web Agents
  35. Length Controlled Generation for Black-box LLMs
  36. Leveraging LLMs for Influence Path Planning in Proactive Recommendation
  37. Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization
  38. Media Source Matters More Than Content: Unveiling Political Bias in LLM-Generated Citations
  39. NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search
  40. Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment
  41. Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
  42. Order-agnostic Identifier for Large Language Model-based Generative Recommendation
  43. Personalized Generation In Large Model Era: A Survey
  44. Personalized Image Generation with Large Multimodal Models
  45. Personalized Text Generation with Contrastive Activation Steering
  46. Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
  47. R$2$ec: Towards Large Recommender Models with Reasoning
  48. Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation
  49. SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation
  50. STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training
  51. Self-Calibrated Listwise Reranking with Large Language Models
  52. Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
  53. TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models
  54. The 3rd Workshop on Personal Intelligence with Generative AI
  55. TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  56. Towards Temporal-Aware Multi-Modal Retrieval Augemented Generation in Finance
  57. Tunable LLM-based Proactive Recommendation Agent
  58. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
  59. A Study of Implicit Ranking Unfairness in Large Language Models
  60. A Taxation Perspective for Fair Re-ranking
  61. Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation
  62. Data-efficient Fine-tuning for LLM-based Recommendation
  63. Debiased Recommendation with Noisy Feedback
  64. Denoising Diffusion Recommender Model
  65. Diffusion Models for Generative Outfit Recommendation
  66. Discriminative Probing and Tuning for Text-to-Image Generation
  67. Distillation Enhanced Generative Retrieval
  68. Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction
  69. FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection
  70. GOODAT: Towards Test-Time Graph Out-of-Distribution Detection
  71. Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
  72. I3: Intent-Introspective Retrieval Conditioned on Instructions
  73. Item-side Fairness of Large Language Model-based Recommendation System
  74. Large Language Models for Recommendation: Past, Present, and Future
  75. Large Language Models for Recommendation: Progresses and Future Directions
  76. Learnable Item Tokenization for Generative Recommendation
    CIKM 2024 · Wenjie Wang
  77. Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation
  78. Proactive Recommendation with Iterative Preference Guidance
  79. Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
  80. Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
  81. The 1st Workshop on Decentralised Search and Recommendation
  82. The 2nd Workshop on Recommendation with Generative Models
    WWW 2024 · Wenjie Wang
  83. Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection
  84. Treatment Effect Estimation for User Interest Exploration on Recommender Systems
  85. Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction
  86. Uplift Modeling for Target User Attacks on Recommender Systems
    WWW 2024 · Wenjie Wang