{"total":16,"rows":[{"id":"2405.18330","title":"Frustratingly Easy Test-Time Adaptation of Vision-Language Models","created":"2024-05-28","cited_by_count":36,"area":"mllm"},{"id":"2409.19375","title":"DOTA: Distributional Test-Time Adaptation of Vision-Language Models","created":"2024-09-28","cited_by_count":23,"area":"mllm"},{"id":"2501.03729","title":"Realistic Test-Time Adaptation of Vision-Language Models","created":"2025-01-07","cited_by_count":14,"area":"mllm"},{"id":"2405.14977","title":"A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models","created":"2024-05-23","cited_by_count":11,"area":"mllm"},{"id":"2507.14312","title":"CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation","created":"2025-07-18","cited_by_count":5,"area":"mllm"},{"id":"2411.17002","title":"Semantic Anchor Transport: Robust Test-Time Adaptation for Vision-Language Models","created":"2024-11-26","cited_by_count":3,"area":"mllm"},{"id":"2606.14299","title":"What Drives Test-Time Adaptation for CLIP? A Controlled Empirical Study from an Update Perspective","created":"2026-06-12","cited_by_count":3,"area":"mllm"},{"id":"2502.19946","title":"Space Rotation with Basis Transformation for Training-free Test-Time Adaptation","created":"2025-02-27","cited_by_count":2,"area":"mllm"},{"id":"2505.12912","title":"Uniformity First: Uniformity-aware Test-time Adaptation of Vision-language Models against Image Corruption","created":"2025-05-19","cited_by_count":1,"area":"mllm"},{"id":"2507.00462","title":"Unleashing the Potential of All Test Samples: Mean-Shift Guided Test-Time Adaptation","created":"2025-07-01","cited_by_count":1,"area":"mllm"},{"id":"2602.07027","title":"Fair Context Learning for Evidence-Balanced Test-Time Adaptation in Vision-Language Models","created":"2026-02-02","cited_by_count":1,"area":"mllm"},{"id":"2606.28719","title":"ComMem: Complementary Memory Systems for Test-Time Adaptation of Vision-Language Models","created":"2026-06-27","cited_by_count":1,"area":"mllm"},{"id":"2604.21728","title":"Ramen: Robust Test-Time Adaptation of Vision-Language Models with Active Sample Selection","created":"2026-04-23","cited_by_count":0,"area":"mllm"},{"id":"2608.03911","title":"UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolution","created":"2026-08-04","cited_by_count":0,"area":"mllm"},{"id":"2608.18339","title":"From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model","created":"2026-08-18","cited_by_count":0,"area":"mllm"},{"id":"2609.34021","title":"Position Aware Layer Queries for Test Time Training in Vision Language Models","created":"2026-09-27","cited_by_count":0,"area":"mllm"}],"next_cursor":null}