{"total":29,"rows":[{"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":"2510.16598","title":"VisionSelector: End-to-End Learnable Visual Token Compression for Efficient Multimodal LLMs","created":"2025-10-18","cited_by_count":11,"area":"mllm"},{"id":"2603.07135","title":"The Model Knows Which Tokens Matter: Automatic Token Selection via Noise Gating","created":"2026-03-07","cited_by_count":11,"area":"mllm"},{"id":"2602.07574","title":"ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention","created":"2026-02-07","cited_by_count":10,"area":"mllm"},{"id":"2606.01711","title":"Improving Visual Token Reduction via Rectifying Distortions for Efficient Multimodal LLM Inference","created":"2026-06-01","cited_by_count":5,"area":"mllm"},{"id":"2606.16067","title":"Stepwise Token Selection for Efficient Multimodal Large Language Models","created":"2026-06-14","cited_by_count":5,"area":"mllm"},{"id":"2511.16595","title":"TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understanding","created":"2025-11-20","cited_by_count":4,"area":"mllm"},{"id":"2603.05950","title":"Energy-Driven Adaptive Visual Token Pruning for Efficient Vision-Language Models","created":"2026-03-06","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":"2602.05809","title":"Focus-Scan-Refine: From Human Visual Perception to Efficient Visual Token Pruning","created":"2026-02-05","cited_by_count":3,"area":"mllm"},{"id":"2603.16932","title":"Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs","created":"2026-03-14","cited_by_count":3,"area":"mllm"},{"id":"2609.01004","title":"SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models","created":"2026-09-01","cited_by_count":3,"area":"mllm"},{"id":"2602.04657","title":"TRIO: Token Reduction via Inference-Objective Guidance for Efficient Vision-Language Models","created":"2026-02-04","cited_by_count":2,"area":"mllm"},{"id":"2607.10640","title":"Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models","created":"2026-07-12","cited_by_count":2,"area":"mllm"},{"id":"2608.07088","title":"RoRA: Role-Oriented Regional Allocation for Visual Token Pruning in MLLMs","created":"2026-08-07","cited_by_count":2,"area":"mllm"},{"id":"2511.14169","title":"AdaTok: Adaptive Token Compression with Object-Aware Representations for Efficient Multimodal LLMs","created":"2025-11-18","cited_by_count":1,"area":"mllm"},{"id":"2604.11240","title":"Decoupled Similarity for Task-Aware Token Pruning in Large Vision-Language Models","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2605.09429","title":"Evading Visual Aphasia: Contrastive Adaptive Semantic Token Pruning for Vision-Language Models","created":"2026-05-10","cited_by_count":1,"area":"mllm"},{"id":"2606.29805","title":"Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation","created":"2026-06-29","cited_by_count":1,"area":"mllm"},{"id":"2608.01985","title":"DiffPrune: differentiable information throttling for token pruning in vision-language models","created":"2026-08-03","cited_by_count":1,"area":"mllm"},{"id":"2608.10489","title":"When Vision Becomes Text: Visual Token Pruning via Cross-Modal Residual Guidance in VLMs","created":"2026-08-11","cited_by_count":1,"area":"mllm"},{"id":"2608.25332","title":"Not All Attention Heads Contribute to Critical Visual Token Selection: Head-Aware Pruning Matters More","created":"2026-08-26","cited_by_count":1,"area":"mllm"},{"id":"2608.30263","title":"Centering before Pruning: Lightweight Geometry Correction for Diversity-Based Visual Token Pruning in LVLMs","created":"2026-08-31","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":"2604.12767","title":"CLASP: Class-Adaptive Layer Fusion and Dual-Stage Pruning for Multimodal Large Language Models","created":"2026-04-14","cited_by_count":0,"area":"mllm"},{"id":"2605.13178","title":"CLIP Tricks You: Training-free Token Pruning for Efficient Pixel Grounding in Large VIsion-Language Models","created":"2026-05-13","cited_by_count":0,"area":"mllm"},{"id":"2609.13804","title":"StepPrune: Adaptive Sequential Visual Token Selection across Multimodal Large Language Models","created":"2026-09-12","cited_by_count":0,"area":"mllm"},{"id":"2609.34330","title":"MiCo: Mutual Information Coverage Optimization through Semantic Erasure Modeling for Efficient MLLM Inference","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2610.05273","title":"When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA","created":"2026-10-04","cited_by_count":0,"area":"mllm"}],"next_cursor":null}