15 citations · 15 across the 3 of their papers we have counts for
4 papers
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing
Xiangyan Qu, Zhenlong Yuan, Jing Tang +9
Image Chain-of-Thought (Image-CoT) is a test-time scaling paradigm that improves image generation by extending inference time. Most Image-CoT methods focus on text-to-image (T2I) g…
CoTune: Co-evolutionary Configuration Tuning
Gangda Xiong, Tao Chen
To automatically tune configurations for the best possible system performance (e.g., runtime or throughput), much work has been focused on designing intelligent heuristics in a tun…
Respond to Change with Constancy: Instruction-tuning with LLM for Non-I.I.D. Network Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +4
Encrypted traffic classification is highly challenging in network security due to the need for extracting robust features from content-agnostic traffic data. Existing approaches fa…
POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models
Yangguang Shao, Xinjie Lin, Haozheng Luo +4
Large language models (LLMs) have achieved remarkable success in various domains, primarily due to their strong capabilities in reasoning and generating human-like text. Despite th…