{"total":27,"rows":[{"id":"2204.14198","title":"Flamingo: a Visual Language Model for Few-Shot Learning","created":"2022-04-29","cited_by_count":4386,"area":"mllm"},{"id":"2501.03895","title":"LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token","created":"2025-01-07","cited_by_count":166,"area":"mllm"},{"id":"2505.16652","title":"Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding","created":"2025-05-22","cited_by_count":43,"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":"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":"2410.10034","title":"TULIP: Token-length Upgraded CLIP","created":"2024-10-13","cited_by_count":19,"area":"mllm"},{"id":"2507.14675","title":"Docopilot: Improving Multimodal Models for Document-Level Understanding","created":"2025-07-19","cited_by_count":19,"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":"2411.13317","title":"Teaching VLMs to Localize Specific Objects from In-context Examples","created":"2024-11-20","cited_by_count":6,"area":"mllm"},{"id":"2601.20796","title":"Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers","created":"2026-01-28","cited_by_count":5,"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":"2402.12079","title":"LVCHAT: Facilitating Long Video Comprehension","created":"2024-02-19","cited_by_count":4,"area":"mllm"},{"id":"2505.23121","title":"ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations","created":"2025-05-29","cited_by_count":3,"area":"mllm"},{"id":"2411.19460","title":"Look Every Frame All at Once: Video-Ma$^2$mba for Efficient Long-form Video Understanding with Multi-Axis Gradient Checkpointing","created":"2024-11-29","cited_by_count":2,"area":"mllm"},{"id":"2505.21465","title":"ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models","created":"2025-05-27","cited_by_count":2,"area":"mllm"},{"id":"2512.21576","title":"Towards Long-window Anchoring in Vision-Language Model Distillation","created":"2025-12-25","cited_by_count":2,"area":"mllm"},{"id":"2604.12537","title":"MODIX: A Training-Free Multimodal Information-Driven Positional Index Scaling for Vision-Language Models","created":"2026-04-14","cited_by_count":2,"area":"mllm"},{"id":"2506.19651","title":"PEVLM: Parallel Encoding for Vision-Language Models","created":"2025-06-24","cited_by_count":1,"area":"mllm"},{"id":"2511.00821","title":"OMEGA: Optimized Multimodal Position Encoding Index Derivation with Global Adaptive Scaling for Vision-Language Models","created":"2025-11-02","cited_by_count":1,"area":"mllm"},{"id":"2602.00344","title":"When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"id":"2603.10863","title":"Beyond Sequential Distance: Inter-Modal Distance Invariant Position Encoding","created":"2026-03-11","cited_by_count":1,"area":"mllm"},{"id":"2605.30170","title":"Unveiling the Visual Counting Bottleneck in Vision-Language Models","created":"2026-05-28","cited_by_count":1,"area":"mllm"},{"id":"2607.23335","title":"The Gate Always Closes: On Injecting Auxiliary Signals into Frozen Vision-Language Models","created":"2026-07-25","cited_by_count":1,"area":"mllm"},{"id":"2605.30716","title":"Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation","created":"2026-05-29","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":"2608.23143","title":"An end-to-end-trained vision-language model for native-language prostate pathology report generation","created":"2026-08-24","cited_by_count":0,"area":"mllm"}],"next_cursor":null}