{"total":25,"rows":[{"id":"2506.09047","title":"Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs","created":"2025-06-10","cited_by_count":35,"area":"mllm"},{"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":"2502.10486","title":"VLM-Guard: Safeguarding Vision-Language Models via Fulfilling Safety Alignment Gap","created":"2025-02-14","cited_by_count":17,"area":"mllm"},{"id":"2602.06218","title":"Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings","created":"2026-02-05","cited_by_count":10,"area":"mllm"},{"id":"2502.14888","title":"Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models","created":"2025-02-16","cited_by_count":4,"area":"mllm"},{"id":"2507.07985","title":"Common Data Properties Limit Object-Attribute Binding in CLIP","created":"2025-07-10","cited_by_count":4,"area":"mllm"},{"id":"2510.09473","title":"D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models","created":"2025-10-10","cited_by_count":3,"area":"mllm"},{"id":"2603.13292","title":"Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs","created":"2026-02-28","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":"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":"2607.23052","title":"Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models","created":"2026-07-25","cited_by_count":2,"area":"mllm"},{"id":"2511.22141","title":"Bridging the Modality Gap by Similarity Standardization with Pseudo-Positive Samples","created":"2025-11-27","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":"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":"2605.26661","title":"Respecting Modality Gap in Post-hoc Out-of-distribution Detection with Pre-trained Vision-Language Models","created":"2026-05-26","cited_by_count":0,"area":"mllm"},{"id":"2605.30265","title":"LoMo: Local Modality Substitution for Deeper Vision-Language Fusion","created":"2026-05-28","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":"2607.28640","title":"TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs","created":"2026-05-20","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":"2608.23634","title":"The Blending Ratio Is Not Where the Performance Is: Diagnosing Prototype Blending for Few-Shot Adaptation of Vision-Language Models","created":"2026-08-23","cited_by_count":0,"area":"mllm"},{"id":"2609.02663","title":"Characterizing Text Branch Sensitivity in Medical Vision-Language Segmentation via Evidence Decoupling","created":"2026-09-02","cited_by_count":0,"area":"mllm"},{"id":"2609.10224","title":"UOT-Gap: A Variational Principle for the Modality Gap in Vision-Language Models via Unbalanced Optimal Transport","created":"2026-09-09","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"},{"id":"2610.12907","title":"BLEND: Balancing Personalization vs. Generalization in Federated Vision-Language Models","created":"2026-10-09","cited_by_count":0,"area":"mllm"}],"next_cursor":null}