{"total":16,"rows":[{"id":"2410.09453","title":"MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection","created":"2024-10-12","cited_by_count":47,"area":"mllm"},{"id":"2404.09654","title":"Do LLMs Understand Visual Anomalies? Uncovering LLM's Capabilities in Zero-shot Anomaly Detection","created":"2024-04-15","cited_by_count":36,"area":"mllm"},{"id":"2407.21794","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","created":"2024-07-31","cited_by_count":36,"area":"mllm"},{"id":"2311.02612","title":"GPT-4V-AD: Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection","created":"2023-11-05","cited_by_count":23,"area":"mllm"},{"id":"2409.20146","title":"VMAD: Visual-enhanced Multimodal Large Language Model for Zero-Shot Anomaly Detection","created":"2024-09-30","cited_by_count":13,"area":"mllm"},{"id":"2505.09265","title":"MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning","created":"2025-05-14","cited_by_count":13,"area":"mllm"},{"id":"2508.13560","title":"DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup","created":"2025-08-19","cited_by_count":10,"area":"mllm"},{"id":"2602.00522","title":"MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval","created":"2026-01-31","cited_by_count":6,"area":"mllm"},{"id":"2511.08173","title":"VLMDiff: Leveraging Vision-Language Models for Multi-Class Anomaly Detection with Diffusion","created":"2025-11-11","cited_by_count":3,"area":"mllm"},{"id":"2407.03634","title":"SOWA: Adapting Hierarchical Frozen Window Self-Attention to Visual-Language Models for Better Anomaly Detection","created":"2024-07-04","cited_by_count":2,"area":"mllm"},{"id":"2510.16036","title":"IAD-GPT: Advancing Visual Knowledge in Multimodal Large Language Model for Industrial Anomaly Detection","created":"2025-10-16","cited_by_count":2,"area":"mllm"},{"id":"2602.17419","title":"EAGLE: Expert-Augmented Attention Guidance for Tuning-Free Industrial Anomaly Detection in Multimodal Large Language Models","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2605.20682","title":"IndusAgent: Reinforcing Open-Vocabulary Industrial Anomaly Detection with Agentic Tools","created":"2026-05-20","cited_by_count":2,"area":"mllm"},{"id":"2403.09493","title":"Anomaly Detection by Adapting a pre-trained Vision Language Model","created":"2024-03-14","cited_by_count":1,"area":"mllm"},{"id":"2508.03447","title":"CoPS: Conditional Prompt Synthesis for Zero-Shot Anomaly Detection","created":"2025-08-05","cited_by_count":1,"area":"mllm"},{"id":"2609.39033","title":"TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization","created":"2026-09-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}