3 papers
cs.LG2026
Not All Tokens Are Worth Caching: Learning Semantic-Aware Eviction for LLM Prefix Caches
Shaoke Fang, Ziang Li, Wenfei Wu +3
Prefix caching is a key optimization in Large Language Model (LLM) serving, reusing attention Key-Value (KV) states across requests with shared prompt prefixes to reduce expensive…
cs.CV2025
Beyond Human-prompting: Adaptive Prompt Tuning with Semantic Alignment for Anomaly Detection
Pi-Wei Chen, Jerry Chun-Wei Lin, Wei-Han Chen +4
Pre-trained Vision-Language Models (VLMs) have recently shown promise in detecting anomalies. However, previous approaches are fundamentally limited by their reliance on human-desi…
cs.CV2024
Human-Free Automated Prompting for Vision-Language Anomaly Detection: Prompt Optimization with Meta-guiding Prompt Scheme
Pi-Wei Chen, Jerry Chun-Wei Lin, Jia Ji +3
Pre-trained vision-language models (VLMs) are highly adaptable to various downstream tasks through few-shot learning, making prompt-based anomaly detection a promising approach. Tr…