{"total":21,"rows":[{"id":"2505.19147","title":"Shifting AI Efficiency From Model-Centric to Data-Centric Compression","created":"2025-05-25","cited_by_count":29,"area":"mllm"},{"id":"2507.20198","title":"A Survey of Token Compression for Efficient Multimodal Large Language Models","created":"2025-07-27","cited_by_count":25,"area":"mllm"},{"id":"2510.00515","title":"Efficient Multi-modal Large Language Models via Progressive Consistency Distillation","created":"2025-10-01","cited_by_count":22,"area":"mllm"},{"id":"2503.10501","title":"TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models","created":"2025-03-13","cited_by_count":19,"area":"mllm"},{"id":"2510.07143","title":"Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods","created":"2025-10-08","cited_by_count":17,"area":"mllm"},{"id":"2504.17365","title":"TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation","created":"2025-04-24","cited_by_count":13,"area":"mllm"},{"id":"2511.02650","title":"Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models","created":"2025-11-04","cited_by_count":13,"area":"mllm"},{"id":"2505.18757","title":"ToDRE: Effective Visual Token Pruning via Token Diversity and Task Relevance","created":"2025-05-24","cited_by_count":7,"area":"mllm"},{"id":"2601.21531","title":"On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression","created":"2026-01-29","cited_by_count":6,"area":"mllm"},{"id":"2511.12280","title":"D$^{3}$ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs","created":"2025-11-15","cited_by_count":5,"area":"mllm"},{"id":"2604.17087","title":"EvoComp: Learning Visual Token Compression for Multimodal Large Language Models via Semantic-Guided Evolutionary Labeling","created":"2026-04-18","cited_by_count":5,"area":"mllm"},{"id":"2508.17807","title":"Attention Debiasing for Token Pruning in Vision Language Models","created":"2025-08-25","cited_by_count":4,"area":"mllm"},{"id":"2603.22911","title":"ForestPrune: High-ratio Visual Token Compression for Video Multimodal Large Language Models via Spatial-Temporal Forest Modeling","created":"2026-03-24","cited_by_count":4,"area":"mllm"},{"id":"2606.25658","title":"Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding","created":"2026-06-24","cited_by_count":4,"area":"mllm"},{"id":"2507.09334","title":"Fast3D: Accelerating 3D Multi-modal Large Language Models for Efficient 3D Scene Understanding","created":"2025-07-12","cited_by_count":2,"area":"mllm"},{"id":"2510.09266","title":"CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation","created":"2025-10-10","cited_by_count":2,"area":"mllm"},{"id":"2511.19518","title":"Towards Efficient VLMs: Information-Theoretic Driven Compression via Adaptive Structural Pruning","created":"2025-11-24","cited_by_count":1,"area":"mllm"},{"id":"2604.12035","title":"When Does Visual Token Pruning Improve Calibration? The Role of Evidence Coverage in MLLMs","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2605.19260","title":"AQuaUI: Visual Token Reduction for GUI Agents with Adaptive Quadtrees","created":"2026-05-19","cited_by_count":1,"area":"mllm"},{"id":"2609.01224","title":"S$^2$Prune: Spatially Structured Visual Token Pruning for Multimodal Large Language Models","created":"2026-09-01","cited_by_count":1,"area":"mllm"},{"id":"2610.13263","title":"SheafPrune: Sheaf-Guided Graph Propagation for Visual Token Pruning","created":"2026-10-09","cited_by_count":0,"area":"mllm"}],"next_cursor":null}