{"total":18,"rows":[{"id":"2308.14960","title":"Read-only Prompt Optimization for Vision-Language Few-shot Learning","created":"2023-08-29","cited_by_count":58,"area":"mllm"},{"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":"2309.12530","title":"A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance","created":"2023-09-21","cited_by_count":40,"area":"mllm"},{"id":"2404.19286","title":"Soft Prompt Generation for Domain Generalization","created":"2024-04-30","cited_by_count":24,"area":"mllm"},{"id":"2404.09011","title":"PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization","created":"2024-04-13","cited_by_count":15,"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":"2404.12139","title":"Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models","created":"2024-04-18","cited_by_count":9,"area":"mllm"},{"id":"2502.18816","title":"Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP","created":"2025-02-26","cited_by_count":8,"area":"mllm"},{"id":"2506.18504","title":"Generalizing vision-language models to novel domains: A comprehensive survey","created":"2025-06-23","cited_by_count":7,"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":"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":"2411.06921","title":"UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models","created":"2024-11-11","cited_by_count":2,"area":"mllm"},{"id":"2503.05204","title":"Data-Efficient Generalization for Zero-shot Composed Image Retrieval","created":"2025-03-07","cited_by_count":2,"area":"mllm"},{"id":"2508.12137","title":"Infusing fine-grained visual knowledge to Vision-Language Models","created":"2025-08-16","cited_by_count":2,"area":"mllm"},{"id":"2510.11296","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","created":"2025-10-13","cited_by_count":1,"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":"2607.18230","title":"Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs","created":"2026-07-20","cited_by_count":0,"area":"mllm"}],"next_cursor":null}