{"total":150,"rows":[{"id":"2401.15947","title":"MoE-LLaVA: Mixture of Experts for Large Vision-Language Models","created":"2024-01-29","cited_by_count":300,"area":"mllm"},{"id":"2309.11499","title":"DreamLLM: Synergistic Multimodal Comprehension and Creation","created":"2023-09-20","cited_by_count":297,"area":"mllm"},{"id":"2307.14539","title":"Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models","created":"2023-07-26","cited_by_count":273,"area":"mllm"},{"id":"2407.12580","title":"E5-V: Universal Embeddings with Multimodal Large Language Models","created":"2024-07-17","cited_by_count":126,"area":"mllm"},{"id":"2307.10490","title":"Abusing Images and Sounds for Indirect Instruction Injection in Multi-Modal LLMs","created":"2023-07-19","cited_by_count":124,"area":"mllm"},{"id":"2211.16198","title":"SuS-X: Training-Free Name-Only Transfer of Vision-Language Models","created":"2022-11-28","cited_by_count":119,"area":"mllm"},{"id":"2305.19270","title":"Learning without Forgetting for Vision-Language Models","created":"2023-05-30","cited_by_count":79,"area":"mllm"},{"id":"2404.07983","title":"Two Effects, One Trigger: On the Modality Gap, Object Bias, and Information Imbalance in Contrastive Vision-Language Models","created":"2024-04-11","cited_by_count":57,"area":"mllm"},{"id":"2310.02071","title":"Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond","created":"2023-10-03","cited_by_count":51,"area":"mllm"},{"id":"2302.14383","title":"Linear Spaces of Meanings: Compositional Structures in Vision-Language Models","created":"2023-02-28","cited_by_count":48,"area":"mllm"},{"id":"2504.14348","title":"Manipulating Multimodal Agents via Cross-Modal Prompt Injection","created":"2025-04-19","cited_by_count":44,"area":"mllm"},{"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":"2304.01752","title":"Black Box Few-Shot Adaptation for Vision-Language models","created":"2023-04-04","cited_by_count":39,"area":"mllm"},{"id":"2306.00917","title":"Vocabulary-free Image Classification","created":"2023-06-01","cited_by_count":35,"area":"mllm"},{"id":"2308.03793","title":"ReCLIP: Refine Contrastive Language Image Pre-Training with Source Free Domain Adaptation","created":"2023-08-04","cited_by_count":35,"area":"mllm"},{"id":"2506.09047","title":"Same Task, Different Circuits: Disentangling Modality-Specific Mechanisms in VLMs","created":"2025-06-10","cited_by_count":35,"area":"mllm"},{"id":"2504.11695","title":"Interpreting the linear structure of vision-language model embedding spaces","created":"2025-04-16","cited_by_count":32,"area":"mllm"},{"id":"2503.19900","title":"CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning","created":"2025-03-25","cited_by_count":31,"area":"mllm"},{"id":"2405.01926","title":"Auto-Encoding Morph-Tokens for Multimodal LLM","created":"2024-05-03","cited_by_count":30,"area":"mllm"},{"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":"2501.01346","title":"Large Vision-Language Model Alignment and Misalignment: A Survey Through the Lens of Explainability","created":"2025-01-02","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":"2507.19024","title":"A Survey of Multimodal Hallucination Evaluation and Detection","created":"2025-07-25","cited_by_count":27,"area":"mllm"},{"id":"2406.03496","title":"Wings: Learning Multimodal LLMs without Text-only Forgetting","created":"2024-06-05","cited_by_count":23,"area":"mllm"},{"id":"2402.07417","title":"An Empirical Study Into What Matters for Calibrating Vision-Language Models","created":"2024-02-12","cited_by_count":20,"area":"mllm"},{"id":"2406.19097","title":"Fairness and Bias in Multimodal AI: A Survey","created":"2024-06-27","cited_by_count":20,"area":"mllm"},{"id":"2509.11986","title":"Lost in Embeddings: Information Loss in Vision-Language Models","created":"2025-09-15","cited_by_count":20,"area":"mllm"},{"id":"2411.02669","title":"Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack","created":"2024-11-04","cited_by_count":18,"area":"mllm"},{"id":"2504.12717","title":"Post-pre-training for Modality Alignment in Vision-Language Foundation Models","created":"2025-04-17","cited_by_count":18,"area":"mllm"},{"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":"2402.04655","title":"Open-Vocabulary Calibration for Fine-tuned CLIP","created":"2024-02-07","cited_by_count":15,"area":"mllm"},{"id":"2602.00462","title":"LatentLens: Revealing Highly Interpretable Visual Tokens in LLMs","created":"2026-01-31","cited_by_count":15,"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":"2601.17814","title":"MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing","created":"2026-01-25","cited_by_count":13,"area":"mllm"},{"id":"2306.08893","title":"LOVM: Language-Only Vision Model Selection","created":"2023-06-15","cited_by_count":12,"area":"mllm"},{"id":"2304.13273","title":"From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping","created":"2023-04-26","cited_by_count":11,"area":"mllm"},{"id":"2310.17218","title":"Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification","created":"2023-10-26","cited_by_count":11,"area":"mllm"},{"id":"2406.19905","title":"Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model","created":"2024-06-28","cited_by_count":11,"area":"mllm"},{"id":"2412.05983","title":"Chimera: Improving Generalist Model with Domain-Specific Experts","created":"2024-12-08","cited_by_count":11,"area":"mllm"},{"id":"2508.05318","title":"mKG-RAG: Leveraging Multimodal Knowledge Graphs in Retrieval-Augmented Generation for Knowledge-intensive VQA","created":"2025-08-07","cited_by_count":11,"area":"mllm"},{"id":"2405.01468","title":"Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models","created":"2024-05-02","cited_by_count":10,"area":"mllm"},{"id":"2509.10345","title":"Towards Understanding Visual Grounding in Visual Language Models","created":"2025-09-12","cited_by_count":10,"area":"mllm"},{"id":"2602.06218","title":"Cross-Modal Redundancy and the Geometry of Vision-Language Embeddings","created":"2026-02-05","cited_by_count":10,"area":"mllm"},{"id":"2602.07026","title":"Modality Gap-Driven Subspace Alignment Training Paradigm For Multimodal Large Language Models","created":"2026-02-02","cited_by_count":10,"area":"mllm"},{"id":"2404.09387","title":"RankCLIP: Ranking-Consistent Language-Image Pretraining","created":"2024-04-15","cited_by_count":9,"area":"mllm"},{"id":"2402.16315","title":"Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models","created":"2024-02-26","cited_by_count":8,"area":"mllm"},{"id":"2505.03703","title":"Fill the Gap: Quantifying and Reducing the Modality Gap in Image-Text Representation Learning","created":"2025-05-06","cited_by_count":8,"area":"mllm"},{"id":"2507.17436","title":"Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection","created":"2025-07-23","cited_by_count":8,"area":"mllm"},{"id":"2407.12315","title":"ModalChorus: Visual Probing and Alignment of Multi-modal Embeddings via Modal Fusion Map","created":"2024-07-17","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":"2512.08923","title":"Same Content, Different Answers: Cross-Modal Inconsistency in MLLMs","created":"2025-12-09","cited_by_count":7,"area":"mllm"},{"id":"2407.18941","title":"LEMoN: Label Error Detection using Multimodal Neighbors","created":"2024-07-10","cited_by_count":6,"area":"mllm"},{"id":"2408.08855","title":"DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models","created":"2024-08-16","cited_by_count":5,"area":"mllm"},{"id":"2508.00955","title":"From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model","created":"2025-08-01","cited_by_count":5,"area":"mllm"},{"id":"2410.11639","title":"Efficient and Effective Universal Adversarial Attack against Vision-Language Pre-training Models","created":"2024-10-15","cited_by_count":4,"area":"mllm"},{"id":"2410.23698","title":"Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP","created":"2024-10-31","cited_by_count":4,"area":"mllm"},{"id":"2505.03242","title":"Seeing the Abstract: Translating the Abstract Language for Vision Language Models","created":"2025-05-06","cited_by_count":4,"area":"mllm"},{"id":"2511.06225","title":"MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition","created":"2025-11-09","cited_by_count":4,"area":"mllm"},{"id":"2602.01037","title":"VEQ: Modality-Adaptive Quantization for MoE Vision-Language Models","created":"2026-02-01","cited_by_count":4,"area":"mllm"},{"id":"2603.13341","title":"Mind the Discriminability Trap in Source-Free Cross-domain Few-shot Learning","created":"2026-03-07","cited_by_count":4,"area":"mllm"},{"id":"2312.08846","title":"TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training","created":"2023-12-14","cited_by_count":3,"area":"mllm"},{"id":"2401.11633","title":"Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss","created":"2024-01-22","cited_by_count":3,"area":"mllm"},{"id":"2502.00662","title":"Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation","created":"2025-02-02","cited_by_count":3,"area":"mllm"},{"id":"2505.23745","title":"To Trust Or Not To Trust Your Vision-Language Model's Prediction","created":"2025-05-29","cited_by_count":3,"area":"mllm"},{"id":"2506.12409","title":"Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models","created":"2025-06-14","cited_by_count":3,"area":"mllm"},{"id":"2508.06092","title":"Q-CLIP: Unleashing the Power of Vision-Language Models for Video Quality Assessment through Unified Cross-Modal Adaptation","created":"2025-08-08","cited_by_count":3,"area":"mllm"},{"id":"2510.09473","title":"D-TPT: Dimensional Entropy Maximization for Calibrating Test-Time Prompt Tuning in Vision-Language Models","created":"2025-10-10","cited_by_count":3,"area":"mllm"},{"id":"2510.26441","title":"A-TPT: Angular Diversity Calibration Properties for Test-Time Prompt Tuning of Vision-Language Models","created":"2025-10-30","cited_by_count":3,"area":"mllm"},{"id":"2510.27391","title":"Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds","created":"2025-10-31","cited_by_count":3,"area":"mllm"},{"id":"2511.17255","title":"A Little More Like This: Text-to-Image Retrieval with Vision-Language Models Using Relevance Feedback","created":"2025-11-21","cited_by_count":3,"area":"mllm"},{"id":"2601.08017","title":"Representations of Text and Images Align From Layer One","created":"2026-01-12","cited_by_count":3,"area":"mllm"},{"id":"2603.19862","title":"IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment","created":"2026-03-20","cited_by_count":3,"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":"2508.06895","title":"BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models","created":"2025-08-09","cited_by_count":2,"area":"mllm"},{"id":"2511.00191","title":"A Retrospect to Multi-prompt Learning across Vision and Language","created":"2025-10-31","cited_by_count":2,"area":"mllm"},{"id":"2511.22019","title":"Intra-Class Probabilistic Embeddings for Uncertainty Estimation in Vision-Language Models","created":"2025-11-27","cited_by_count":2,"area":"mllm"},{"id":"2601.21662","title":"Epistemic Uncertainty Quantification for Pre-trained VLMs via Riemannian Flow Matching","created":"2026-01-29","cited_by_count":2,"area":"mllm"},{"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":"2605.07825","title":"Anisotropic Modality Align","created":"2026-05-08","cited_by_count":2,"area":"mllm"},{"id":"2404.00675","title":"LLM meets Vision-Language Models for Zero-Shot One-Class Classification","created":"2024-03-31","cited_by_count":1,"area":"mllm"},{"id":"2404.17534","title":"Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models","created":"2024-04-26","cited_by_count":1,"area":"mllm"},{"id":"2405.02586","title":"Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis","created":"2024-05-04","cited_by_count":1,"area":"mllm"},{"id":"2407.15731","title":"The Inter-Intra Modal Measure: A Predictive Lens on Fine-Tuning Outcomes in Vision-Language Models","created":"2024-07-22","cited_by_count":1,"area":"mllm"},{"id":"2410.08478","title":"Federated Vision-Language-Recommendation with Personalized Fusion","created":"2024-10-11","cited_by_count":1,"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":"2509.09064","title":"Enhancing 3D Medical Image Understanding with Pretraining Aided by 2D Multimodal Large Language Models","created":"2025-09-11","cited_by_count":1,"area":"mllm"},{"id":"2511.13036","title":"uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data","created":"2025-11-17","cited_by_count":1,"area":"mllm"},{"id":"2511.22141","title":"Bridging the Modality Gap by Similarity Standardization with Pseudo-Positive Samples","created":"2025-11-27","cited_by_count":1,"area":"mllm"},{"id":"2512.03463","title":"Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2602.23136","title":"Modality Collapse as Mismatched Decoding: Information-Theoretic Limits of Multimodal LLMs","created":"2026-02-26","cited_by_count":1,"area":"mllm"},{"id":"2602.23730","title":"Unlocking Cognitive Capabilities and Analyzing the Perception-Logic Trade-off","created":"2026-02-27","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"},{"id":"2603.12055","title":"Continual Learning with Vision-Language Models via Semantic-Geometry Preservation","created":"2026-03-12","cited_by_count":1,"area":"mllm"},{"id":"2603.17228","title":"From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs","created":"2026-03-18","cited_by_count":1,"area":"mllm"},{"id":"2603.22165","title":"ACPO: Counteracting Likelihood Displacement in Vision-Language Alignment with Asymmetric Constraints","created":"2026-03-23","cited_by_count":1,"area":"mllm"},{"id":"2604.26370","title":"Topology-Aware Representation Alignment for Semi-Supervised Vision-Language Learning","created":"2026-04-29","cited_by_count":1,"area":"mllm"},{"id":"2605.06679","title":"Breaking the Illusion: When Positive Meets Negative in Multimodal Decoding","created":"2026-04-22","cited_by_count":1,"area":"mllm"},{"id":"2605.08245","title":"When Language Overwrites Vision: Over-Alignment and Geometric Debiasing in Vision-Language Models","created":"2026-05-07","cited_by_count":1,"area":"mllm"},{"id":"2606.14758","title":"Disentangling Hallucinations: Orthogonal Semantic Projection for Robust Interpretability","created":"2026-06-08","cited_by_count":1,"area":"mllm"},{"id":"2606.18839","title":"Semantic Robustness Certification for Vision-Language Models","created":"2026-06-17","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}