{"total":146,"rows":[{"id":"2403.11549","title":"Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters","created":"2024-03-18","cited_by_count":199,"area":"mllm"},{"id":"2303.06628","title":"Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models","created":"2023-03-12","cited_by_count":112,"area":"mllm"},{"id":"2406.06512","title":"Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset","created":"2024-06-10","cited_by_count":102,"area":"mllm"},{"id":"2402.10828","title":"RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model","created":"2024-02-16","cited_by_count":92,"area":"mllm"},{"id":"2301.02280","title":"Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training","created":"2023-01-05","cited_by_count":91,"area":"mllm"},{"id":"2305.19270","title":"Learning without Forgetting for Vision-Language Models","created":"2023-05-30","cited_by_count":79,"area":"mllm"},{"id":"2303.14302","title":"VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining","created":"2023-03-24","cited_by_count":65,"area":"mllm"},{"id":"2311.16206","title":"Continual Instruction Tuning for Large Multimodal Models","created":"2023-11-27","cited_by_count":49,"area":"mllm"},{"id":"2503.00413","title":"CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering","created":"2025-03-01","cited_by_count":37,"area":"mllm"},{"id":"2407.05342","title":"Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models","created":"2024-07-07","cited_by_count":34,"area":"mllm"},{"id":"2411.02902","title":"Membership Inference Attacks against Large Vision-Language Models","created":"2024-11-05","cited_by_count":33,"area":"mllm"},{"id":"2312.14494","title":"Revisiting Few-Shot Object Detection with Vision-Language Models","created":"2023-12-22","cited_by_count":32,"area":"mllm"},{"id":"2401.09181","title":"Beyond Anti-Forgetting: Multimodal Continual Instruction Tuning with Positive Forward Transfer","created":"2024-01-17","cited_by_count":31,"area":"mllm"},{"id":"2503.12941","title":"HiDe-LLaVA: Hierarchical Decoupling for Continual Instruction Tuning of Multimodal Large Language Model","created":"2025-03-17","cited_by_count":31,"area":"mllm"},{"id":"2410.05849","title":"ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt","created":"2024-10-08","cited_by_count":30,"area":"mllm"},{"id":"2308.07146","title":"CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation","created":"2023-08-14","cited_by_count":29,"area":"mllm"},{"id":"2303.02506","title":"Prismer: A Vision-Language Model with Multi-Task Experts","created":"2023-03-04","cited_by_count":28,"area":"mllm"},{"id":"2506.11672","title":"Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning","created":"2025-06-13","cited_by_count":27,"area":"mllm"},{"id":"2402.10884","title":"Multi-modal Preference Alignment Remedies Degradation of Visual Instruction Tuning on Language Models","created":"2024-02-16","cited_by_count":26,"area":"mllm"},{"id":"2403.19137","title":"CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models","created":"2024-03-28","cited_by_count":25,"area":"mllm"},{"id":"2403.05346","title":"VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language Model","created":"2024-03-08","cited_by_count":23,"area":"mllm"},{"id":"2506.05453","title":"MLLM-CL: Continual Learning for Multimodal Large Language Models","created":"2025-06-05","cited_by_count":23,"area":"mllm"},{"id":"2411.02564","title":"Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models","created":"2024-11-04","cited_by_count":22,"area":"mllm"},{"id":"2405.17418","title":"A Self-Correcting Vision-Language-Action Model for Fast and Slow System Manipulation","created":"2024-05-27","cited_by_count":21,"area":"mllm"},{"id":"2503.04229","title":"Synthetic Data is an Elegant GIFT for Continual Vision-Language Models","created":"2025-03-06","cited_by_count":21,"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":"2411.13949","title":"SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning","created":"2024-11-21","cited_by_count":19,"area":"mllm"},{"id":"2210.17322","title":"Generative Negative Text Replay for Continual Vision-Language Pretraining","created":"2022-10-31","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":"2406.11665","title":"See It from My Perspective: How Language Affects Cultural Bias in Image Understanding","created":"2024-06-17","cited_by_count":17,"area":"mllm"},{"id":"2407.15793","title":"CLIP with Generative Latent Replay: a Strong Baseline for Incremental Learning","created":"2024-07-22","cited_by_count":17,"area":"mllm"},{"id":"2508.07414","title":"Grounding Multilingual Multimodal LLMs With Cultural Knowledge","created":"2025-08-10","cited_by_count":16,"area":"mllm"},{"id":"2310.20348","title":"Class Incremental Learning with Pre-trained Vision-Language Models","created":"2023-10-31","cited_by_count":15,"area":"mllm"},{"id":"2403.10245","title":"CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning","created":"2024-03-15","cited_by_count":15,"area":"mllm"},{"id":"2406.18868","title":"Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models","created":"2024-06-27","cited_by_count":15,"area":"mllm"},{"id":"2309.07120","title":"Sight Beyond Text: Multi-Modal Training Enhances LLMs in Truthfulness and Ethics","created":"2023-09-13","cited_by_count":14,"area":"mllm"},{"id":"2508.06202","title":"LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning","created":"2025-08-08","cited_by_count":13,"area":"mllm"},{"id":"2503.12897","title":"Federated Continual Instruction Tuning","created":"2025-03-17","cited_by_count":12,"area":"mllm"},{"id":"2506.06884","title":"FREE: Fast and Robust Vision Language Models with Early Exits","created":"2025-06-07","cited_by_count":12,"area":"mllm"},{"id":"2405.14977","title":"A Lost Opportunity for Vision-Language Models: A Comparative Study of Online Test-Time Adaptation for Vision-Language Models","created":"2024-05-23","cited_by_count":11,"area":"mllm"},{"id":"2503.16843","title":"LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models","created":"2025-03-21","cited_by_count":11,"area":"mllm"},{"id":"2505.23271","title":"LADA: Scalable Label-Specific CLIP Adapter for Continual Learning","created":"2025-05-29","cited_by_count":11,"area":"mllm"},{"id":"2510.08564","title":"How to Teach Large Multimodal Models New Skills","created":"2025-10-09","cited_by_count":11,"area":"mllm"},{"id":"2308.01126","title":"Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training Model","created":"2023-08-02","cited_by_count":10,"area":"mllm"},{"id":"2410.10573","title":"Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification","created":"2024-10-14","cited_by_count":10,"area":"mllm"},{"id":"2401.17186","title":"Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning","created":"2024-01-30","cited_by_count":8,"area":"mllm"},{"id":"2506.03189","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","created":"2025-05-30","cited_by_count":8,"area":"mllm"},{"id":"2503.20612","title":"IAP: Improving Continual Learning of Vision-Language Models via Instance-Aware Prompting","created":"2025-03-26","cited_by_count":7,"area":"mllm"},{"id":"2505.16703","title":"Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs","created":"2025-05-22","cited_by_count":7,"area":"mllm"},{"id":"2505.24449","title":"When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations","created":"2025-05-30","cited_by_count":7,"area":"mllm"},{"id":"2511.15164","title":"Multimodal Continual Instruction Tuning with Dynamic Gradient Guidance","created":"2025-11-19","cited_by_count":7,"area":"mllm"},{"id":"2406.13653","title":"Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised Retention","created":"2024-06-19","cited_by_count":6,"area":"mllm"},{"id":"2411.02210","title":"One VLM to Keep it Learning: Generation and Balancing for Data-free Continual Visual Question Answering","created":"2024-11-04","cited_by_count":6,"area":"mllm"},{"id":"2412.13050","title":"Modality-Inconsistent Continual Learning of Multimodal Large Language Models","created":"2024-12-17","cited_by_count":6,"area":"mllm"},{"id":"2502.00843","title":"VLM-Assisted Continual learning for Visual Question Answering in Self-Driving","created":"2025-02-02","cited_by_count":6,"area":"mllm"},{"id":"2503.07663","title":"Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs","created":"2025-03-08","cited_by_count":6,"area":"mllm"},{"id":"2607.13429","title":"Generalizable VLA Finetuning via Representation Anchoring and Language-Action Alignment","created":"2026-07-15","cited_by_count":6,"area":"mllm"},{"id":"2506.19320","title":"Continual Retinal Vision-Language Pre-training upon Incremental Imaging Modalities","created":"2025-06-24","cited_by_count":5,"area":"mllm"},{"id":"2408.09984","title":"Boosting Open-Domain Continual Learning via Leveraging Intra-domain Category-aware Prototype","created":"2024-08-19","cited_by_count":4,"area":"mllm"},{"id":"2408.11742","title":"CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question Answering","created":"2024-08-21","cited_by_count":4,"area":"mllm"},{"id":"2411.06764","title":"Multi-Stage Knowledge Integration of Vision-Language Models for Continual Learning","created":"2024-11-11","cited_by_count":4,"area":"mllm"},{"id":"2502.05568","title":"Large Multimodal Models for Low-Resource Languages: A Survey","created":"2025-02-08","cited_by_count":4,"area":"mllm"},{"id":"2503.08906","title":"Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation","created":"2025-03-11","cited_by_count":4,"area":"mllm"},{"id":"2503.23046","title":"VLM-C4L: Continual Core Dataset Learning with Corner Case Optimization via Vision-Language Models for Autonomous Driving","created":"2025-03-29","cited_by_count":4,"area":"mllm"},{"id":"2505.10088","title":"MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models","created":"2025-05-15","cited_by_count":4,"area":"mllm"},{"id":"2508.00260","title":"Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models","created":"2025-08-01","cited_by_count":4,"area":"mllm"},{"id":"2503.10705","title":"Enhanced Continual Learning of Vision-Language Models with Model Fusion","created":"2025-03-12","cited_by_count":3,"area":"mllm"},{"id":"2505.07690","title":"Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models","created":"2025-05-12","cited_by_count":3,"area":"mllm"},{"id":"2508.05323","title":"Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting","created":"2025-08-07","cited_by_count":3,"area":"mllm"},{"id":"2508.16463","title":"Modular Embedding Recomposition for Incremental Learning","created":"2025-08-22","cited_by_count":3,"area":"mllm"},{"id":"2511.20158","title":"Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs","created":"2025-11-25","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":"2604.02570","title":"WSVD: Weighted Low-Rank Approximation for Fast and Efficient Execution of Low-Precision Vision-Language Models","created":"2026-04-02","cited_by_count":3,"area":"mllm"},{"id":"2606.16295","title":"VisualClaw: A Real-Time, Personalized Agent for the Physical World","created":"2026-06-15","cited_by_count":3,"area":"mllm"},{"id":"2502.00618","title":"DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition","created":"2025-02-02","cited_by_count":2,"area":"mllm"},{"id":"2502.04098","title":"Efficient Few-Shot Continual Learning in Vision-Language Models","created":"2025-02-06","cited_by_count":2,"area":"mllm"},{"id":"2503.21227","title":"LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models","created":"2025-03-27","cited_by_count":2,"area":"mllm"},{"id":"2507.13568","title":"LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning","created":"2025-07-17","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":"2602.04509","title":"Model-Dowser: Data-Free Importance Probing to Mitigate Catastrophic Forgetting in Multimodal Large Language Models","created":"2026-02-04","cited_by_count":2,"area":"mllm"},{"id":"2602.22601","title":"$\\phi$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2603.27481","title":"On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models","created":"2026-03-29","cited_by_count":2,"area":"mllm"},{"id":"2604.16943","title":"MNAFT: modality neuron-aware fine-tuning of multimodal large language models for image translation","created":"2026-04-18","cited_by_count":2,"area":"mllm"},{"id":"2605.15961","title":"Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models","created":"2026-05-15","cited_by_count":2,"area":"mllm"},{"id":"2607.04364","title":"RL Forgets! Towards Continual Policy Optimization","created":"2026-07-05","cited_by_count":2,"area":"mllm"},{"id":"2406.01914","title":"HPE-CogVLM: Advancing Vision Language Models with a Head Pose Grounding Task","created":"2024-06-04","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":"2410.05270","title":"CLIP's Visual Embedding Projector is a Few-shot Cornucopia","created":"2024-10-07","cited_by_count":1,"area":"mllm"},{"id":"2504.15627","title":"ZeroSlide: Is Zero-Shot Classification Adequate for Lifelong Learning in Whole-Slide Image Analysis in the Era of Pathology Vision-Language Foundation Models?","created":"2025-04-22","cited_by_count":1,"area":"mllm"},{"id":"2508.10171","title":"SynSpill: Improved Industrial Spill Detection With Synthetic Data","created":"2025-08-13","cited_by_count":1,"area":"mllm"},{"id":"2508.18430","title":"CLARIFY: A Specialist-Generalist Framework for Accurate and Lightweight Dermatological Visual Question Answering","created":"2025-08-25","cited_by_count":1,"area":"mllm"},{"id":"2511.20732","title":"Prompt-Aware Adaptive Elastic Weight Consolidation for Continual Learning in Medical Vision-Language Models","created":"2025-11-25","cited_by_count":1,"area":"mllm"},{"id":"2512.13072","title":"Forging a Dynamic Memory: Retrieval-Guided Continual Learning for Generalist Medical Foundation Models","created":"2025-12-15","cited_by_count":1,"area":"mllm"},{"id":"2602.10740","title":"Reinforced Curriculum Pre-Alignment for Domain-Adaptive VLMs","created":"2026-02-11","cited_by_count":1,"area":"mllm"},{"id":"2603.01111","title":"DeAR: Fine-Grained VLM Adaptation by Decomposing Attention Head Roles","created":"2026-03-01","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":"2603.21484","title":"Which Concepts to Forget and How to Refuse? Decomposing Concepts for Continual Unlearning in Large Vision-Language Models","created":"2026-03-23","cited_by_count":1,"area":"mllm"},{"id":"2604.01310","title":"Sparse Spectral LoRA: Routed Experts for Medical VLMs","created":"2026-04-01","cited_by_count":1,"area":"mllm"},{"id":"2604.16264","title":"Information Router for Mitigating Modality Dominance in Vision-Language Models","created":"2026-04-17","cited_by_count":1,"area":"mllm"},{"id":"2605.02206","title":"Metric Unreliability in Multimodal Machine Unlearning: A Systematic Analysis and Principled Unified Score","created":"2026-05-04","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}