{"total":19,"rows":[{"id":"2508.04227","title":"Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting","created":"2025-08-06","cited_by_count":18,"area":"mllm"},{"id":"2505.20236","title":"Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language Models","created":"2025-05-26","cited_by_count":16,"area":"mllm"},{"id":"2603.14819","title":"RAZOR: Ratio-Aware Layer Editing for Targeted Unlearning in Vision Transformers and Diffusion Models","created":"2026-03-16","cited_by_count":8,"area":"mllm"},{"id":"2603.13341","title":"Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning","created":"2026-03-07","cited_by_count":4,"area":"mllm"},{"id":"2506.21476","title":"Global and Local Entailment Learning for Natural World Imagery","created":"2025-06-26","cited_by_count":3,"area":"mllm"},{"id":"2603.19862","title":"IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment","created":"2026-03-20","cited_by_count":3,"area":"mllm"},{"id":"2512.06281","title":"Unleashing the Intrinsic Visual Representation Capability of Multimodal Large Language Models","created":"2025-12-06","cited_by_count":2,"area":"mllm"},{"id":"2603.24528","title":"Cross-Modal Prototype Alignment and Mixing for Training-Free Few-Shot Classification","created":"2026-03-25","cited_by_count":2,"area":"mllm"},{"id":"2603.08942","title":"BiCLIP: Domain Canonicalization via Structured Geometric Transformation","created":"2026-03-09","cited_by_count":1,"area":"mllm"},{"id":"2606.07451","title":"TEVI: Text-Conditioned Editing of Visual Representations via Sparse Autoencoders for Improved Vision-Language Alignment","created":"2026-06-05","cited_by_count":1,"area":"mllm"},{"id":"2603.17246","title":"On the Cone Effect and Modality Gap in Medical Vision-Language Embeddings","created":"2026-03-18","cited_by_count":0,"area":"mllm"},{"id":"2604.00279","title":"The Geometry of Compromise: Unlocking Generative Capabilities via Controllable Modality Alignment","created":"2026-03-31","cited_by_count":0,"area":"mllm"},{"id":"2605.10756","title":"TINS: Test-time ID-prototype-separated Negative Semantics Learning for OOD Detection","created":"2026-05-11","cited_by_count":0,"area":"mllm"},{"id":"2605.14893","title":"Your CLIP has 164 dimensions of noise: Exploring the embeddings covariance eigenspectrum of contrastively pretrained vision-language transformers","created":"2026-05-14","cited_by_count":0,"area":"mllm"},{"id":"2606.29888","title":"Same Concept, Different Directions: Cross-Modal Feature Heterogeneity in Sparse Autoencoders","created":"2026-06-29","cited_by_count":0,"area":"mllm"},{"id":"2608.08418","title":"Learning Deep Modality-Shared Self-Expressiveness for Image Clustering with Textual Information","created":"2026-08-09","cited_by_count":0,"area":"mllm"},{"id":"2608.23102","title":"Training-Free Pseudo-Fusion for Composed Image Retrieval with Diffusion Models and Multimodal Large Language Models","created":"2026-08-24","cited_by_count":0,"area":"mllm"},{"id":"2609.36101","title":"One Geometry, Different Outcomes: Readout-Dependent Effects of the Modality Gap in Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.39836","title":"Spherical Interpolation for Backward-Compatible Multimodal Representations","created":"2026-09-30","cited_by_count":0,"area":"mllm"}],"next_cursor":null}