{"total":39,"rows":[{"id":"2410.08584","title":"ZipVL: Efficient Large Vision-Language Models with Dynamic Token Sparsification","created":"2024-10-11","cited_by_count":44,"area":"mllm"},{"id":"2504.02477","title":"Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision","created":"2025-04-03","cited_by_count":40,"area":"mllm"},{"id":"2505.10610","title":"MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly","created":"2025-05-15","cited_by_count":29,"area":"mllm"},{"id":"2412.09616","title":"V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding","created":"2024-12-12","cited_by_count":28,"area":"mllm"},{"id":"2411.01106","title":"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding","created":"2024-11-02","cited_by_count":25,"area":"mllm"},{"id":"2409.09086","title":"Inf-MLLM: Efficient Streaming Inference of Multimodal Large Language Models on a Single GPU","created":"2024-09-11","cited_by_count":20,"area":"mllm"},{"id":"2206.13155","title":"Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding","created":"2022-06-27","cited_by_count":18,"area":"mllm"},{"id":"2410.05970","title":"PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling","created":"2024-10-08","cited_by_count":14,"area":"mllm"},{"id":"2506.15724","title":"MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference","created":"2025-06-06","cited_by_count":12,"area":"mllm"},{"id":"2510.02295","title":"VideoNSA: Native Sparse Attention Scales Video Understanding","created":"2025-10-02","cited_by_count":11,"area":"mllm"},{"id":"2512.15649","title":"VTCBench: Can Vision-Language Models Understand Long Context with Vision-Text Compression?","created":"2025-12-17","cited_by_count":11,"area":"mllm"},{"id":"2503.16585","title":"Distributed LLMs and Multimodal Large Language Models: A Survey on Advances, Challenges, and Future Directions","created":"2025-03-20","cited_by_count":10,"area":"mllm"},{"id":"2405.08992","title":"Contextual Emotion Recognition using Large Vision Language Models","created":"2024-05-14","cited_by_count":9,"area":"mllm"},{"id":"2502.01960","title":"MPIC: Position-Independent Multimodal Context Caching System for Efficient MLLM Serving","created":"2025-02-04","cited_by_count":8,"area":"mllm"},{"id":"2602.00746","title":"Can Vision-Language Models Handle Long-Context Code? An Empirical Study on Visual Compression","created":"2026-01-31","cited_by_count":5,"area":"mllm"},{"id":"2601.11976","title":"AVIR: Adaptive Visual In-Document Retrieval for Efficient Multi-Page Document Question Answering","created":"2026-01-17","cited_by_count":4,"area":"mllm"},{"id":"2604.17422","title":"Where to Focus: Query-Modulated Multimodal Keyframe Selection for Long Video Understanding","created":"2026-04-19","cited_by_count":4,"area":"mllm"},{"id":"2507.04635","title":"MODA: MOdular Duplex Attention for Multimodal Perception, Cognition, and Emotion Understanding","created":"2025-07-07","cited_by_count":2,"area":"mllm"},{"id":"2507.07247","title":"Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention","created":"2025-07-09","cited_by_count":2,"area":"mllm"},{"id":"2512.08410","title":"Towards Effective Long Video Understanding of Multimodal Large Language Models via One-shot Clip Retrieval","created":"2025-12-09","cited_by_count":2,"area":"mllm"},{"id":"2408.04671","title":"Prompt and Prejudice","created":"2024-08-07","cited_by_count":1,"area":"mllm"},{"id":"2506.19651","title":"PEVLM: Parallel Encoding for Vision-Language Models","created":"2025-06-24","cited_by_count":1,"area":"mllm"},{"id":"2507.02957","title":"CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning","created":"2025-06-30","cited_by_count":1,"area":"mllm"},{"id":"2510.09762","title":"PatentVision: A multimodal method for drafting patent applications","created":"2025-10-10","cited_by_count":1,"area":"mllm"},{"id":"2511.11502","title":"PAS : Prelim Attention Score for Detecting Object Hallucinations in Large Vision--Language Models","created":"2025-11-14","cited_by_count":1,"area":"mllm"},{"id":"2601.10378","title":"Global Context Compression with Interleaved Vision-Text Transformation","created":"2026-01-15","cited_by_count":1,"area":"mllm"},{"id":"2606.00620","title":"FlowNar: Scalable Streaming Narration for Long-Form Videos","created":"2026-05-30","cited_by_count":1,"area":"mllm"},{"id":"2502.02406","title":"LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models","created":"2025-02-04","cited_by_count":0,"area":"mllm"},{"id":"2504.10049","title":"Summarization of Multimodal Presentations with Vision-Language Models: Study of the Effect of Modalities and Structure","created":"2025-04-14","cited_by_count":0,"area":"mllm"},{"id":"2507.09071","title":"BlindSight: Harnessing Sparsity for Efficient Vision-Language Models","created":"2025-07-11","cited_by_count":0,"area":"mllm"},{"id":"2601.01322","title":"LinMU: Multimodal Understanding Made Linear","created":"2026-01-04","cited_by_count":0,"area":"mllm"},{"id":"2603.23914","title":"Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding","created":"2026-03-25","cited_by_count":0,"area":"mllm"},{"id":"2605.13080","title":"Learning to See What You Need: Gaze Attention for Multimodal Large Language Models","created":"2026-05-13","cited_by_count":0,"area":"mllm"},{"id":"2606.04433","title":"Stateful Visual Encoders for Vision-Language Models","created":"2026-06-03","cited_by_count":0,"area":"mllm"},{"id":"2607.06534","title":"CAIRN: Cross-Room 3D Scene Understanding with Topology-Aware Large Multimodal Models","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2607.09029","title":"MOSAIC: Adaptive Inter-layer Composition for Efficient Heterogeneous Vision-Language Models","created":"2026-07-10","cited_by_count":0,"area":"mllm"},{"id":"2607.23373","title":"UltraViT: Latency-Optimized On-device Vision Encoder for Large Vision-Language Models","created":"2026-07-25","cited_by_count":0,"area":"mllm"},{"id":"2608.28698","title":"State-Conditioned Visual Evidence Retrieval for Fine-Grained Perception in Document Vision-Language Models","created":"2026-08-27","cited_by_count":0,"area":"mllm"},{"id":"2609.01657","title":"NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference","created":"2026-08-31","cited_by_count":0,"area":"mllm"}],"next_cursor":null}