PPaperPicks

Huawei Shen

Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

66 papers at tracked venues · 43 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AsarRec: Adaptive Sequential Augmentation for Robust Self-supervised Sequential Recommendation
  2. AuditAgent: LLM Agent for Risks Auditing in Recommender Systems
  3. Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents
  4. D-Models and E-Models: Diversity-Stability Trade-offs in the Sampling Behavior of Large Language Models
  5. Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems
  6. Event-Aware Video Corpus Moment Retrieval
  7. Fairness at a Glance: Can We Audit Model Fairness Before Training Completes?
  8. HAG: Hierarchical Demographic Tree-based Agent Generation for Topic-Adaptive Simulation
  9. Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization
  10. Multi-Personality Generation of LLMs at Decoding-time
  11. Projecting Out the Malice: A Global Subspace Approach to LLM Detoxification
  12. RLKD: Distilling LLMs' Reasoning via Reinforcement Learning
  13. ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding
  14. Steering Away from Refusal: A Black-box Jailbreak Method Based on First-Token Distribution
  15. The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis
  16. Towards Quantitative Summarization Evaluation: An Integrated Atomic-Based Evaluation Framework and Dataset for Text Summarization
  17. 'I Know You Are Discriminatory!': Automated Substantiating for Individual Fairness Auditing of AI Systems
  18. A Theory for Token-Level Harmonization in Retrieval-Augmented Generation
  19. ALiiCE: Evaluating Positional Fine-grained Citation Generation
  20. BotTrans: A Multi-source Graph Domain Adaptation Approach for Social Bot Detection
  21. Cross-Modal Safety Mechanism Transfer in Large Vision-Language Models
  22. Differentiated Vision: Unveiling Entity-Specific Visual Modality Requirements for Multimodal Knowledge Graph
  23. Everything is Editable: Extend Knowledge Editing to Unstructured Data in Large Language Models
  24. Fact-Level Calibration and Correction for Long-Form Generations
  25. Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment
  26. From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment
  27. Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos
  28. Inference-time Alignment in Continuous Space
  29. InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning
  30. Jailbreak LLMs through Internal Stance Manipulation
  31. Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation
  32. Low-Entropy Watermark Detection via Bayes' Rule Derived Detector
  33. MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing
  34. PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree
  35. Personalized Denoising Implicit Feedback for Robust Recommender System
  36. Related Knowledge Perturbation Matters: Rethinking Multiple Pieces of Knowledge Editing in Same-Subject
  37. SafetyQuizzer: Timely and Dynamic Evaluation on the Safety of LLMs
  38. The Mirage of Model Editing: Revisiting Evaluation in the Wild
  39. Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
  40. ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models
  41. Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models
  42. Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling
  43. Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems
  44. Enhancing Training Data Attribution for Large Language Models with Fitting Error Consideration
  45. FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks
  46. Graph Summarization for Preserving Spectral Characteristics
  47. Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System
  48. Invisible Relevance Bias: Text-Image Retrieval Models Prefer AI-Generated Images
  49. List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation
  50. LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation
  51. Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning
  52. PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
  53. PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks
  54. Plot Retrieval as an Assessment of Abstract Semantic Association
  55. SACH: Significant-Attributed Community Search in Heterogeneous Information Networks
  56. Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks
  57. TEA: Test-Time Energy Adaptation
  58. The Fall of ROME: Understanding the Collapse of LLMs in Model Editing
  59. Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner Monologue
  60. Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
  61. Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models
  62. Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
  63. Unlink to Unlearn: Simplifying Edge Unlearning in GNNs
  64. Unlocking the Power of Large Language Models for Entity Alignment
  65. Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
  66. When to Trust LLMs: Aligning Confidence with Response Quality