Vision-Language Models (VLMs) like CLIP struggle to understand negation, often embedding affirmatives and negatives similarly (e.g., matching "no dog" with dog images). Existing methods refine negation understanding via fine-tuning CLIP's text encoder, risking overfitting. In this work, we propose CLIPGlasses, a plug-and-play framework that enhances CLIP's ability to comprehend negated visual descriptions. CLIPGlasses adopts a dual-stage design: a Lens module disentangles negated semantics from text embeddings, and a Frame module predicts context-aware repulsion strength, which is integrated into a modified similarity computation to penalize alignment with negated semantics, thereby reducing false positive matches. Experiments show that CLIP equipped with CLIPGlasses achieves competitive in-domain performance and outperforms state-of-the-art methods in cross-domain generalization. Its superiority is especially evident under low-resource conditions, indicating stronger robustness across domains.
HANCLIP: A Family of Hyperbolic Angular Negation Vision Language Models
ADAPT Centre Dublin City University, Ireland（爱尔兰都柏林城市大学ADAPT中心）；University of East Anglia Norwich, UK（英国东英吉利大学）；Queen’s University Belfast Belfast, UK（英国贝尔法斯特女王大学）；University of Science Vietnam National University Ho Chi Minh City, Vietnam（越南胡志明市国家大学理科大学）
ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
Tongji University（同济大学）；The Chinese University of Hong Kong（香港中文大学）；Shanghai Artificial Intelligence Laboratory（上海人工智能实验室）；S-Lab, Nanyang Technological University（南洋理工大学S-Lab）
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Shanghai AI Laboratory（上海人工智能实验室）；The Chinese University of Hong Kong（香港中文大学）；University of Macau（澳门大学）；MThreads, Inc.（摩尔线程公司）；Shanghai Jiao Tong University（上海交通大学）；Fudan University（复旦大学）
RATLIP: Generative Adversarial CLIP Text-to-Image Synthesis Based on Recurrent Affine Transformations
School of Artificial Intelligence, Guangxi Colleges and Universities Key Laboratory of AI Algorithm Engineering（人工智能学院、广西 Colleges and Universities AI 算法工程重点实验室）
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University（北京大学深圳研究生院电子与计算机工程学院）；Peng Cheng Laboratory（鹏城实验室）；Applied Research Center (ARC), Tencent PCG（腾讯PCG应用研究中心）
