Search Results for author:
Found 6 papers, 5 papers with code
Vulnerability of Text-to-Image Models to Prompt Template Stealing: A Differential Evolution Approach
Prompt trading has emerged as a significant intellectual property concern in recent years, where vendors entice users by showcasing sample images before selling prompt templates that can generate similar images.
Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models
Recent advancements in REC have been driven by large multimodal models (LMMs) like CogVLM, which achieved 92. 44% accuracy on RefCOCO.
Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
We systematically adapt the Faster R-CNN towards the Deformable DETR by integrating or repurposing each component of Deformable DETR and note that Deformable DETR's improved performance over Faster R-CNN is attributed to the adoption of advanced modules such as a superior proposal refiner (e. g. deformable attention rather than RoI Align).
MAGIC: Detecting Advanced Persistent Threats via Masked Graph Representation Learning
Data provenance analysis on provenance graphs has emerged as a common approach in APT detection.
RAIN: Your Language Models Can Align Themselves without Finetuning
We discover that by integrating self-evaluation and rewind mechanisms, unaligned LLMs can directly produce responses consistent with human preferences via self-boosting.
Tree-based Search Graph for Approximate Nearest Neighbor Search
Research by Fu et al. shows that the algorithms based on Monotonic Search Network (MSNET), such as NSG and NSSG, have achieved the state-of-the-art search performance in efficiency.
