{"total":27,"rows":[{"id":"2209.07511","title":"Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models","created":"2022-09-15","cited_by_count":382,"area":"mllm"},{"id":"2308.06038","title":"Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning","created":"2023-08-11","cited_by_count":154,"area":"mllm"},{"id":"2504.11195","title":"R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning","created":"2025-04-15","cited_by_count":33,"area":"mllm"},{"id":"2407.08966","title":"LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models","created":"2024-07-12","cited_by_count":21,"area":"mllm"},{"id":"2410.20149","title":"AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models","created":"2024-10-26","cited_by_count":16,"area":"mllm"},{"id":"2311.01441","title":"Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models","created":"2023-11-02","cited_by_count":9,"area":"mllm"},{"id":"2507.21494","title":"Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning","created":"2025-07-29","cited_by_count":9,"area":"mllm"},{"id":"2507.10225","title":"Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection","created":"2025-07-14","cited_by_count":3,"area":"mllm"},{"id":"2603.18481","title":"T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World","created":"2026-03-19","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":"2512.16523","title":"TTP: Test-Time Padding for Adversarial Detection and Robust Adaptation on Vision-Language Models","created":"2025-12-18","cited_by_count":2,"area":"mllm"},{"id":"2601.08617","title":"SoC: Semantic Orthogonal Calibration for Test-Time Prompt Tuning","created":"2026-01-13","cited_by_count":2,"area":"mllm"},{"id":"2603.25250","title":"Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models","created":"2026-03-26","cited_by_count":2,"area":"mllm"},{"id":"2503.15886","title":"Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance","created":"2025-03-20","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":"2512.12268","title":"MetaTPT: Meta Test-time Prompt Tuning for Vision-Language Models","created":"2025-12-13","cited_by_count":1,"area":"mllm"},{"id":"2603.26984","title":"A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large Vision-Language Models","created":"2026-03-27","cited_by_count":1,"area":"mllm"},{"id":"2606.06938","title":"When CLIP Sees More, It Fights Back Harder: Multi-View Guided Adaptive Counterattacks for Test-Time Adversarial Robustness","created":"2026-06-05","cited_by_count":1,"area":"mllm"},{"id":"2608.25707","title":"Fairness-Aware Test-Time Prompt Tuning","created":"2026-08-26","cited_by_count":1,"area":"mllm"},{"id":"2508.10397","title":"PQ-DAF: Pose-driven Quality-controlled Data Augmentation for Data-scarce Driver Distraction Detection","created":"2025-08-14","cited_by_count":0,"area":"mllm"},{"id":"2602.12659","title":"IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models","created":"2026-02-13","cited_by_count":0,"area":"mllm"},{"id":"2604.04488","title":"A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models","created":"2026-04-06","cited_by_count":0,"area":"mllm"},{"id":"2605.00906","title":"Generalized Category Discovery under Domain Shifts: From Vision to Vision-Language Models","created":"2026-04-29","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":"2606.06943","title":"SS-TPT: Stability and Suitability-Guided Test-Time Prompt Tuning for Adversarially Robust Vision-Language Models","created":"2026-06-05","cited_by_count":0,"area":"mllm"},{"id":"2606.23132","title":"T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models","created":"2026-06-22","cited_by_count":0,"area":"mllm"},{"id":"2609.06967","title":"Re-calibrated Contrastive Loss for Transformation-Aware Prompt Conditioning in Vision-Language Models","created":"2026-09-07","cited_by_count":0,"area":"mllm"}],"next_cursor":null}