PPaperPicks

Zilei Wang

31 papers at tracked venues · 27 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Static Personas: Situational Personality Steering for Large Language Models
  2. From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning
  3. MoPrune: Scene-Guided Motion-Aware Token Pruning for Efficient Video Large Language Models
  4. PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models
  5. RealChart2Code: Bridging the Gap in Real-World Chart-to-Code Generation via Multi-Task Evaluation
  6. Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization
  7. Training-free Boosting for Few-shot Segmentation via Generalizing Semantic Mining
  8. ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models
  9. Cooperative Pseudo Labeling for Unsupervised Federated Classification
  10. Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG
  11. Exploring Vacant Classes in Label-Skewed Federated Learning
  12. GCD: Advancing Vision-Language Models for Incremental Object Detection via Global Alignment and Correspondence Distillation
  13. Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference
  14. LoRA-Pro: Are Low-Rank Adapters Properly Optimized?
  15. Progressive Distribution Bridging: Unsupervised Adaptation for Large-Scale Pre-Trained Models via Adaptive Auxiliary Data
  16. Protecting Model Adaptation from Trojans in the Unlabeled Data
  17. R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
  18. Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
  19. Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
  20. The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
  21. The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs?
  22. Towards Continual Universal Segmentation
  23. A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
  24. A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
  25. Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models
  26. DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization
  27. Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-Rich Superpixels
  28. Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
  29. Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
  30. Probabilistic Contrastive Learning for Domain Adaptation
  31. Semantic-Guided Robustness Tuning for Few-Shot Transfer Across Extreme Domain Shift