{"total":34,"rows":[{"id":"2310.08255","title":"Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification","created":"2023-10-12","cited_by_count":41,"area":"mllm"},{"id":"2311.01723","title":"Towards Calibrated Robust Fine-Tuning of Vision-Language Models","created":"2023-11-03","cited_by_count":35,"area":"mllm"},{"id":"2304.05995","title":"APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP","created":"2023-04-12","cited_by_count":24,"area":"mllm"},{"id":"2404.19286","title":"Soft Prompt Generation for Domain Generalization","created":"2024-04-30","cited_by_count":24,"area":"mllm"},{"id":"2405.02954","title":"Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training","created":"2024-05-05","cited_by_count":15,"area":"mllm"},{"id":"2509.23050","title":"Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding","created":"2025-09-27","cited_by_count":14,"area":"mllm"},{"id":"2403.06946","title":"Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation","created":"2024-03-11","cited_by_count":13,"area":"mllm"},{"id":"2403.12806","title":"VisualCritic: Making LMMs Perceive Visual Quality Like Humans","created":"2024-03-19","cited_by_count":13,"area":"mllm"},{"id":"2406.09353","title":"Enhancing Domain Adaptation through Prompt Gradient Alignment","created":"2024-06-13","cited_by_count":8,"area":"mllm"},{"id":"2510.08132","title":"Approximate Domain Unlearning for Vision-Language Models","created":"2025-10-09","cited_by_count":8,"area":"mllm"},{"id":"2501.16065","title":"CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-Identification","created":"2025-01-27","cited_by_count":7,"area":"mllm"},{"id":"2311.15812","title":"C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing","created":"2023-11-27","cited_by_count":6,"area":"mllm"},{"id":"2503.05776","title":"FAA-CLIP: Federated Adversarial Adaptation of CLIP","created":"2025-02-26","cited_by_count":5,"area":"mllm"},{"id":"2312.04066","title":"Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance","created":"2023-12-07","cited_by_count":4,"area":"mllm"},{"id":"2405.15289","title":"Learning Invariant Causal Mechanism from Vision-Language Models","created":"2024-05-24","cited_by_count":3,"area":"mllm"},{"id":"2408.02261","title":"Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs","created":"2024-08-05","cited_by_count":3,"area":"mllm"},{"id":"2410.08211","title":"LatteCLIP: Unsupervised CLIP Fine-Tuning via LMM-Synthetic Texts","created":"2024-10-10","cited_by_count":3,"area":"mllm"},{"id":"2401.03253","title":"VLLaVO: Mitigating Visual Gap through LLMs","created":"2024-01-06","cited_by_count":2,"area":"mllm"},{"id":"2404.18758","title":"Transitive Vision-Language Prompt Learning for Domain Generalization","created":"2024-04-29","cited_by_count":2,"area":"mllm"},{"id":"2504.16433","title":"FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing","created":"2025-04-23","cited_by_count":2,"area":"mllm"},{"id":"2508.05008","title":"Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation","created":"2025-08-07","cited_by_count":2,"area":"mllm"},{"id":"2607.14125","title":"CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Black-Box Vision-Language Models","created":"2026-06-19","cited_by_count":2,"area":"mllm"},{"id":"2509.17452","title":"Training-Free Label Space Alignment for Universal Domain Adaptation","created":"2025-09-22","cited_by_count":1,"area":"mllm"},{"id":"2511.15986","title":"Fairness in Multi-modal Medical Diagnosis with Demonstration Selection","created":"2025-11-20","cited_by_count":1,"area":"mllm"},{"id":"2602.20409","title":"CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation","created":"2026-02-23","cited_by_count":1,"area":"mllm"},{"id":"2605.25377","title":"Adversarial Orthogonal Disentanglement for LVLM Hallucination Mitigation","created":"2026-05-25","cited_by_count":1,"area":"mllm"},{"id":"2509.10641","title":"Test-Time Warmup for Multimodal Large Language Models","created":"2025-09-12","cited_by_count":0,"area":"mllm"},{"id":"2509.15330","title":"CoDoL: Conditional Domain Prompt Learning for Out-of-Distribution Generalization","created":"2025-09-18","cited_by_count":0,"area":"mllm"},{"id":"2603.28555","title":"Domain-Invariant Prompt Learning for Vision-Language Models","created":"2026-03-30","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":"2606.24051","title":"DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model","created":"2026-06-23","cited_by_count":0,"area":"mllm"},{"id":"2607.15556","title":"When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?","created":"2026-07-17","cited_by_count":0,"area":"mllm"},{"id":"2608.25251","title":"What Do Medical Vision-Language Models Learn in Radiology? Transfer, Alignment, and Source-Proxy Leakage Under Distribution Shift","created":"2026-08-26","cited_by_count":0,"area":"mllm"},{"id":"2610.01625","title":"Beyond Domain-Level Adaptation: Margin-Oriented Semantic-Appearance Interaction Correction for Personalized Federated Vision-Language Models","created":"2026-10-01","cited_by_count":0,"area":"mllm"}],"next_cursor":null}