{"total":22,"rows":[{"id":"2512.00891","title":"Accelerating Streaming Video Large Language Models via Hierarchical Token Compression","created":"2025-11-30","cited_by_count":37,"area":"inference"},{"id":"2512.07580","title":"When Token Pruning is Worse than Random: Understanding Visual Token Information in VLLMs","created":"2025-12-08","cited_by_count":12,"area":"inference"},{"id":"2505.10118","title":"Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering","created":"2025-05-15","cited_by_count":11,"area":"inference"},{"id":"2602.08005","title":"ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference","created":"2026-02-08","cited_by_count":9,"area":"inference"},{"id":"2412.09919","title":"B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens","created":"2024-12-13","cited_by_count":6,"area":"inference"},{"id":"2504.18579","title":"Sparsity Forcing: Reinforcing Token Sparsity of MLLMs","created":"2025-04-23","cited_by_count":3,"area":"inference"},{"id":"2512.14661","title":"Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models","created":"2025-12-16","cited_by_count":3,"area":"inference"},{"id":"2604.21335","title":"Sub-Token Routing for KV Cache Compression","created":"2026-04-23","cited_by_count":3,"area":"inference"},{"id":"2605.12309","title":"G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models","created":"2026-05-12","cited_by_count":3,"area":"inference"},{"id":"2503.16660","title":"When Less is Enough: Adaptive Token Reduction for Efficient Image Representation","created":"2025-03-20","cited_by_count":2,"area":"inference"},{"id":"2605.08029","title":"STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation","created":"2026-05-08","cited_by_count":2,"area":"inference"},{"id":"2607.02484","title":"Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning","created":"2026-07-02","cited_by_count":2,"area":"inference"},{"id":"2607.11131","title":"TIGER: Text-Conditioned Visual Gated Routing with Acceptance Alignment for Multimodal Speculative Decoding","created":"2026-07-13","cited_by_count":2,"area":"inference"},{"id":"2603.11320","title":"UniCompress: Token Compression for Unified Vision-Language Understanding and Generation","created":"2026-03-11","cited_by_count":1,"area":"inference"},{"id":"2609.01147","title":"On the Design Fundamentals of Pixel Text Representation Learning","created":"2026-09-01","cited_by_count":1,"area":"inference"},{"id":"2603.27900","title":"R\\'enyi Entropy: A New Token Pruning Metric for Vision Transformers","created":"2026-03-29","cited_by_count":0,"area":"inference"},{"id":"2607.27952","title":"LAST: The Last Query Token Guides Visual Token Pruning for Edge-Cloud Collaborative MLLM Inference","created":"2026-07-30","cited_by_count":0,"area":"inference"},{"id":"2608.29291","title":"Accelerating Unified Multimodal Models with Core-Expansion Routing and Unified Computation Scheduling","created":"2026-08-29","cited_by_count":0,"area":"inference"},{"id":"2609.32831","title":"UniCache: Task- and Type-Aware KV Cache Compression for Unified Multimodal Models","created":"2026-09-26","cited_by_count":0,"area":"inference"},{"id":"2609.33397","title":"CoViST: Visual Token Compression via Composable States","created":"2026-09-27","cited_by_count":0,"area":"inference"},{"id":"2610.16744","title":"FoveaTree: Information-Density Trees for Query-Guided Visual Token Pruning in Video Large Language Models","created":"2026-10-12","cited_by_count":0,"area":"inference"},{"id":"2610.18690","title":"Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning","created":"2026-10-13","cited_by_count":0,"area":"inference"}],"next_cursor":null}