{"total":119,"rows":[{"id":"2306.13549","title":"A Survey on Multimodal Large Language Models","created":"2023-06-23","cited_by_count":909,"area":"mllm"},{"id":"2304.00685","title":"Vision-Language Models for Vision Tasks: A Survey","created":"2023-04-03","cited_by_count":839,"area":"mllm"},{"id":"2303.02151","title":"Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners","created":"2023-03-03","cited_by_count":152,"area":null},{"id":"2309.03905","title":"ImageBind-LLM: Multi-modality Instruction Tuning","created":"2023-09-07","cited_by_count":142,"area":null},{"id":"2310.09291","title":"Vision-by-Language for Training-Free Compositional Image Retrieval","created":"2023-10-13","cited_by_count":103,"area":null},{"id":"2306.07282","title":"Waffling around for Performance: Visual Classification with Random Words and Broad Concepts","created":"2023-06-12","cited_by_count":101,"area":"mllm"},{"id":"2302.02503","title":"Leaving Reality to Imagination: Robust Classification via Generated Datasets","created":"2023-02-05","cited_by_count":91,"area":null},{"id":"2304.01195","title":"Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement","created":"2023-04-03","cited_by_count":84,"area":null},{"id":"2302.03298","title":"Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion","created":"2023-02-07","cited_by_count":81,"area":"diffusion"},{"id":"2404.04125","title":"No \"Zero-Shot\" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance","created":"2024-04-04","cited_by_count":75,"area":null},{"id":"2405.02266","title":"On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?","created":"2024-05-03","cited_by_count":67,"area":"mllm"},{"id":"2306.09316","title":"Diffusion Models for Open-Vocabulary Segmentation","created":"2023-06-15","cited_by_count":64,"area":"diffusion"},{"id":"2402.04087","title":"A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation","created":"2024-02-06","cited_by_count":53,"area":null},{"id":"2403.17589","title":"Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models","created":"2024-03-26","cited_by_count":52,"area":"mllm"},{"id":"2307.11661","title":"Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts","created":"2023-07-21","cited_by_count":50,"area":"mllm"},{"id":"2306.08687","title":"Norm-guided latent space exploration for text-to-image generation","created":"2023-06-14","cited_by_count":43,"area":"diffusion"},{"id":"2502.04263","title":"Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion","created":"2025-02-06","cited_by_count":43,"area":"mllm"},{"id":"2306.07196","title":"Retrieval-Enhanced Contrastive Vision-Text Models","created":"2023-06-12","cited_by_count":36,"area":null},{"id":"2407.21794","title":"Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey","created":"2024-07-31","cited_by_count":36,"area":"mllm"},{"id":"2403.11176","title":"Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment","created":"2024-03-17","cited_by_count":32,"area":null},{"id":"2403.12952","title":"Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models","created":"2024-03-19","cited_by_count":32,"area":"mllm"},{"id":"2403.07839","title":"MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric","created":"2024-03-12","cited_by_count":30,"area":"mllm"},{"id":"2401.01736","title":"Few-shot Adaptation of Multi-modal Foundation Models: A Survey","created":"2024-01-03","cited_by_count":28,"area":null},{"id":"2404.04072","title":"Label Propagation for Zero-shot Classification with Vision-Language Models","created":"2024-04-05","cited_by_count":28,"area":"mllm"},{"id":"2407.04603","title":"AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation","created":"2024-07-05","cited_by_count":28,"area":"mllm"},{"id":"2310.19752","title":"Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP","created":"2023-10-30","cited_by_count":27,"area":"mllm"},{"id":"2410.19294","title":"Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting","created":"2024-10-25","cited_by_count":26,"area":"mllm"},{"id":"2408.14471","title":"A Practitioner's Guide to Continual Multimodal Pretraining","created":"2024-08-26","cited_by_count":23,"area":null},{"id":"2412.06712","title":"How to Merge Your Multimodal Models Over Time?","created":"2024-12-09","cited_by_count":23,"area":null},{"id":"2501.18592","title":"Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models","created":"2025-01-30","cited_by_count":23,"area":null},{"id":"2404.08958","title":"AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning","created":"2024-04-13","cited_by_count":22,"area":"mllm"},{"id":"2503.19777","title":"LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation","created":"2025-03-25","cited_by_count":21,"area":null},{"id":"2404.09447","title":"kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies","created":"2024-04-15","cited_by_count":20,"area":null},{"id":"2404.17753","title":"Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification","created":"2024-04-27","cited_by_count":19,"area":null},{"id":"2411.18674","title":"Active Data Curation Effectively Distills Large-Scale Multimodal Models","created":"2024-11-27","cited_by_count":19,"area":"distill"},{"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":"2308.01313","title":"PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts","created":"2023-08-02","cited_by_count":17,"area":"mllm"},{"id":"2311.09191","title":"Domain Aligned CLIP for Few-shot Classification","created":"2023-11-15","cited_by_count":16,"area":null},{"id":"2311.18237","title":"Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models","created":"2023-11-30","cited_by_count":15,"area":null},{"id":"2409.04796","title":"Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection","created":"2024-09-07","cited_by_count":15,"area":null},{"id":"2412.04247","title":"3D Part Segmentation via Geometric Aggregation of 2D Visual Features","created":"2024-12-05","cited_by_count":15,"area":null},{"id":"2501.11175","title":"ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models","created":"2025-01-19","cited_by_count":15,"area":"mllm"},{"id":"2403.04294","title":"A$^{3}$lign-DFER: Pioneering Comprehensive Dynamic Affective Alignment for Dynamic Facial Expression Recognition with CLIP","created":"2024-03-07","cited_by_count":14,"area":null},{"id":"2311.07593","title":"Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification","created":"2023-11-10","cited_by_count":13,"area":"mllm"},{"id":"2401.04651","title":"Learning to Prompt Segment Anything Models","created":"2024-01-09","cited_by_count":13,"area":null},{"id":"2502.19844","title":"ProAPO: Progressively Automatic Prompt Optimization for Visual Classification","created":"2025-02-27","cited_by_count":13,"area":"mllm"},{"id":"2306.10191","title":"Neural Priming for Sample-Efficient Adaptation","created":"2023-06-16","cited_by_count":12,"area":null},{"id":"2307.03073","title":"Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning","created":"2023-07-06","cited_by_count":12,"area":"mllm"},{"id":"2504.12104","title":"Logits DeConfusion with CLIP for Few-Shot Learning","created":"2025-04-16","cited_by_count":11,"area":null},{"id":"2405.01468","title":"Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models","created":"2024-05-02","cited_by_count":10,"area":"mllm"},{"id":"2405.15668","title":"What Do You See? Enhancing Zero-Shot Image Classification with Multimodal Large Language Models","created":"2024-05-24","cited_by_count":10,"area":"mllm"},{"id":"2310.08577","title":"Visual Data-Type Understanding does not emerge from Scaling Vision-Language Models","created":"2023-10-12","cited_by_count":9,"area":"mllm"},{"id":"2307.11315","title":"GIST: Generating Image-Specific Text for Fine-grained Object Classification","created":"2023-07-21","cited_by_count":8,"area":"mllm"},{"id":"2403.12964","title":"Enhancing Vision-Language Few-Shot Adaptation with Negative Learning","created":"2024-03-19","cited_by_count":8,"area":"mllm"},{"id":"2412.18303","title":"Efficient and Context-Aware Label Propagation for Zero-/Few-Shot Training-Free Adaptation of Vision-Language Model","created":"2024-12-24","cited_by_count":8,"area":"mllm"},{"id":"2502.15809","title":"Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition","created":"2025-02-19","cited_by_count":7,"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":"2306.02243","title":"Retrieval-Enhanced Visual Prompt Learning for Few-shot Classification","created":"2023-06-04","cited_by_count":6,"area":null},{"id":"2404.00312","title":"Bayesian Exploration of Pre-trained Models for Low-shot Image Classification","created":"2024-03-30","cited_by_count":6,"area":"mllm"},{"id":"2508.15568","title":"Backpropagation-Free Test-Time Adaptation via Probabilistic Gaussian Alignment","created":"2025-08-21","cited_by_count":6,"area":null},{"id":"2308.11507","title":"Unsupervised Prototype Adapter for Vision-Language Models","created":"2023-08-22","cited_by_count":5,"area":"mllm"},{"id":"2311.11293","title":"From Categories to Classifiers: Name-Only Continual Learning by Exploring the Web","created":"2023-11-19","cited_by_count":5,"area":null},{"id":"2408.04879","title":"On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey","created":"2024-08-09","cited_by_count":5,"area":null},{"id":"2403.05535","title":"Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos","created":"2024-03-08","cited_by_count":4,"area":null},{"id":"2405.16146","title":"Dual-Adapter: Training-free Dual Adaptation for Few-shot Out-of-Distribution Detection","created":"2024-05-25","cited_by_count":4,"area":null},{"id":"2503.12150","title":"Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis","created":"2025-03-15","cited_by_count":4,"area":null},{"id":"2507.20834","title":"Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting","created":"2025-07-28","cited_by_count":4,"area":"safety"},{"id":"2508.04987","title":"Unified modality separation: A vision-language framework for unsupervised domain adaptation","created":"2025-08-07","cited_by_count":4,"area":null},{"id":"2211.16594","title":"Exploiting Category Names for Few-Shot Classification with Vision-Language Models","created":"2022-11-29","cited_by_count":3,"area":"mllm"},{"id":"2402.04416","title":"Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap","created":"2024-02-06","cited_by_count":3,"area":null},{"id":"2403.02714","title":"DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization","created":"2024-03-05","cited_by_count":3,"area":null},{"id":"2404.09872","title":"Conditional Prototype Rectification Prompt Learning","created":"2024-04-15","cited_by_count":3,"area":"mllm"},{"id":"2410.07854","title":"HeGraphAdapter: Tuning Multi-Modal Vision-Language Models with Heterogeneous Graph Adapter","created":"2024-10-10","cited_by_count":3,"area":"mllm"},{"id":"2411.15099","title":"Context-Aware Multimodal Pretraining","created":"2024-11-22","cited_by_count":3,"area":null},{"id":"2502.00426","title":"TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification","created":"2025-02-01","cited_by_count":3,"area":"mllm"},{"id":"2503.19145","title":"Compositional Caching for Training-free Open-vocabulary Attribute Detection","created":"2025-03-24","cited_by_count":3,"area":null},{"id":"2508.05898","title":"ETTA: Efficient Test-Time Adaptation for Vision-Language Models through Dynamic Embedding Updates","created":"2025-08-07","cited_by_count":3,"area":"mllm"},{"id":"2509.26036","title":"SeMoBridge: Semantic Modality Bridge for Efficient Few-Shot Adaptation of CLIP","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2510.20860","title":"Data-Centric Lessons To Improve Speech-Language Pretraining","created":"2025-10-22","cited_by_count":3,"area":null},{"id":"2603.17729","title":"SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition","created":"2026-03-18","cited_by_count":3,"area":"lr"},{"id":"2603.19862","title":"IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment","created":"2026-03-20","cited_by_count":3,"area":"mllm"},{"id":"2312.03805","title":"SYNC-CLIP: Synthetic Data Make CLIP Generalize Better in Data-Limited Scenarios","created":"2023-12-06","cited_by_count":2,"area":"mllm"},{"id":"2406.11309","title":"BaFTA: Backprop-Free Test-Time Adaptation For Zero-Shot Vision-Language Models","created":"2024-06-17","cited_by_count":2,"area":"mllm"},{"id":"2409.11338","title":"CLIP Adaptation by Intra-modal Overlap Reduction","created":"2024-09-17","cited_by_count":2,"area":null},{"id":"2412.17684","title":"COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation","created":"2024-12-23","cited_by_count":2,"area":null},{"id":"2503.18407","title":"VTD-CLIP: Video-to-Text Discretization via Prompting CLIP","created":"2025-03-24","cited_by_count":2,"area":"mllm"},{"id":"2508.03102","title":"Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2601.19597","title":"The Geometric Mechanics of Contrastive Representation Learning: Alignment Potentials, Entropic Dispersion, and Cross-modal Divergence","created":"2026-01-27","cited_by_count":2,"area":null},{"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":"2404.09778","title":"The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning","created":"2024-04-15","cited_by_count":1,"area":null},{"id":"2407.16145","title":"Improved Few-Shot Image Classification Through Multiple-Choice Questions","created":"2024-07-23","cited_by_count":1,"area":null},{"id":"2410.11686","title":"A Survey of Low-shot Vision-Language Model Adaptation via Representer Theorem","created":"2024-10-15","cited_by_count":1,"area":"mllm"},{"id":"2412.12165","title":"Multimodal Approaches to Fair Image Classification: An Ethical Perspective","created":"2024-12-11","cited_by_count":1,"area":null},{"id":"2503.05319","title":"Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation","created":"2025-03-07","cited_by_count":1,"area":null},{"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":"2507.10355","title":"Beyond Graph Model: Reliable VLM Fine-Tuning via Random Graph Adapter","created":"2025-07-14","cited_by_count":1,"area":"mllm"},{"id":"2508.17417","title":"Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models","created":"2025-08-24","cited_by_count":1,"area":"mllm"},{"id":"2602.19615","title":"Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness","created":"2026-02-23","cited_by_count":1,"area":"lr"},{"id":"2602.23229","title":"Large Multimodal Models as General In-Context Classifiers","created":"2026-02-26","cited_by_count":1,"area":"mllm"},{"id":"2603.08942","title":"BiCLIP: Domain Canonicalization via Structured Geometric Transformation","created":"2026-03-09","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}