{"total":21,"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":"2403.09611","title":"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training","created":"2024-03-14","cited_by_count":232,"area":"mllm"},{"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":"2210.09263","title":"Vision-Language Pre-training: Basics, Recent Advances, and Future Trends","created":"2022-10-17","cited_by_count":117,"area":"mllm"},{"id":"2312.12379","title":"Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning","created":"2023-12-19","cited_by_count":106,"area":"mllm"},{"id":"2303.07226","title":"Scaling Vision-Language Models with Sparse Mixture of Experts","created":"2023-03-13","cited_by_count":88,"area":"mllm"},{"id":"2405.05949","title":"CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts","created":"2024-05-09","cited_by_count":56,"area":"mllm"},{"id":"2308.11971","title":"EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE","created":"2023-08-23","cited_by_count":25,"area":"mllm"},{"id":"2411.01595","title":"RS-MoE: A Vision-Language Model with Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering","created":"2024-11-03","cited_by_count":15,"area":"mllm"},{"id":"2502.18290","title":"Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models","created":"2025-02-25","cited_by_count":14,"area":"mllm"},{"id":"2503.06362","title":"Adaptive Audio-Visual Speech Recognition via Matryoshka-Based Multimodal LLMs","created":"2025-03-09","cited_by_count":11,"area":"mllm"},{"id":"2505.23830","title":"EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models","created":"2025-05-28","cited_by_count":5,"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":"2502.01074","title":"Omni-Mol: Multitask Molecular Model for Any-to-any Modalities","created":"2025-02-03","cited_by_count":3,"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":"2604.23996","title":"SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs","created":"2026-04-27","cited_by_count":2,"area":"mllm"},{"id":"2312.12458","title":"When Parameter-efficient Tuning Meets General-purpose Vision-language Models","created":"2023-12-16","cited_by_count":1,"area":"mllm"},{"id":"2603.11664","title":"BackdoorIDS: Zero-shot Backdoor Detection for Pretrained Vision Encoder","created":"2026-03-12","cited_by_count":1,"area":"mllm"},{"id":"2608.17402","title":"MoE-ViE: Mixture of Experts Vision Encoder for Efficient Image and Video Understanding","created":"2026-08-18","cited_by_count":1,"area":"mllm"},{"id":"2608.09907","title":"DistMoE: Private-data Rehearsal-free Routing in Mixture-of-Experts for Distributed Instruction Tuning","created":"2026-08-10","cited_by_count":0,"area":"mllm"},{"id":"2608.17203","title":"Expressivity In Multimodal Contrastive Learning","created":"2026-08-17","cited_by_count":0,"area":"mllm"}],"next_cursor":null}