{"total":25,"rows":[{"id":"2502.11494","title":"Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More","created":"2025-02-17","cited_by_count":155,"area":"mllm"},{"id":"2510.02912","title":"Don't Just Chase \"Highlighted Tokens\" in MLLMs: Revisiting Visual Holistic Context Retention","created":"2025-10-03","cited_by_count":47,"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":"2602.02951","title":"N\\\"uwa: Mending the Spatial Integrity Torn by VLM Token Pruning","created":"2026-02-03","cited_by_count":15,"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":"2508.17807","title":"Attention Debiasing for Token Pruning in Vision Language Models","created":"2025-08-25","cited_by_count":4,"area":"mllm"},{"id":"2604.07812","title":"HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2606.12412","title":"Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models","created":"2026-06-10","cited_by_count":3,"area":"mllm"},{"id":"2505.15816","title":"Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM","created":"2025-05-21","cited_by_count":2,"area":"mllm"},{"id":"2506.13166","title":"GreedyPrune: Retenting Critical Visual Token Set for Large Vision Language Models","created":"2025-06-16","cited_by_count":2,"area":"mllm"},{"id":"2602.03134","title":"SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass","created":"2026-02-03","cited_by_count":2,"area":"mllm"},{"id":"2602.00247","title":"CAPA: Contribution-Aware Pruning and FFN Approximation for Efficient Large Vision-Language Models","created":"2026-01-30","cited_by_count":1,"area":"mllm"},{"id":"2603.14549","title":"ASAP: Attention-Shift-Aware Pruning for Efficient LVLM Inference","created":"2026-03-15","cited_by_count":1,"area":"mllm"},{"id":"2605.30126","title":"PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding","created":"2026-05-28","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":"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":"2601.01322","title":"LinMU: Multimodal Understanding Made Linear","created":"2026-01-04","cited_by_count":0,"area":"mllm"},{"id":"2602.00946","title":"ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models","created":"2026-02-01","cited_by_count":0,"area":"mllm"},{"id":"2604.16462","title":"From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration","created":"2026-04-08","cited_by_count":0,"area":"mllm"},{"id":"2607.25818","title":"SepPrune:A Separator-based Pruning Framework for Efficient Multimodal Large Language Models","created":"2026-07-28","cited_by_count":0,"area":"mllm"},{"id":"2609.00667","title":"From Saliency to Discriminability: Rank-Preserving Visual Token Pruning for VLM Rerankers","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2609.13012","title":"Pixel Decodability Is Not a Compression Signal: Causally Evaluating Importance Proxies for Visual KV-Cache Eviction","created":"2026-07-27","cited_by_count":0,"area":"mllm"},{"id":"2609.34867","title":"P4Q: Co-designing Token Pruning and Quantization for Vision-Language Model Acceleration","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2609.35002","title":"Still There, No Longer Seen: Exposing Compression-Induced Risk in Large Vision-Language Models","created":"2026-09-28","cited_by_count":0,"area":"mllm"},{"id":"2610.18399","title":"Bifocal: Training-Free Mixed Granularity Visual Token Pruning for Multimodal LLMs","created":"2026-10-13","cited_by_count":0,"area":"mllm"}],"next_cursor":null}