{"total":36,"rows":[{"id":"2503.00540","title":"Streaming Video Question-Answering with In-context Video KV-Cache Retrieval","created":"2025-03-01","cited_by_count":117,"area":"inference"},{"id":"2505.21334","title":"HoliTom: Holistic Token Merging for Fast Video Large Language Models","created":"2025-05-27","cited_by_count":58,"area":"inference"},{"id":"2505.15269","title":"LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval","created":"2025-05-21","cited_by_count":54,"area":"inference"},{"id":"2505.14454","title":"Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models","created":"2025-05-20","cited_by_count":38,"area":"inference"},{"id":"2502.00791","title":"Vision-centric Token Compression in Large Language Model","created":"2025-02-02","cited_by_count":21,"area":"inference"},{"id":"2411.02327","title":"PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance","created":"2024-11-04","cited_by_count":20,"area":"inference"},{"id":"2602.08024","title":"FlashVID: Efficient Video Large Language Models via Training-free Tree-based Spatiotemporal Token Merging","created":"2026-02-08","cited_by_count":18,"area":"inference"},{"id":"2512.06866","title":"Less Is More, but Where? Dynamic Token Compression via LLM-Guided Keyframe Prior","created":"2025-12-07","cited_by_count":15,"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":"2506.20066","title":"ToSA: Token Merging with Spatial Awareness","created":"2025-06-24","cited_by_count":11,"area":"inference"},{"id":"2507.01957","title":"Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation","created":"2025-07-02","cited_by_count":10,"area":"inference"},{"id":"2510.07915","title":"MARC: Memory-Augmented RL Token Compression for Efficient Video Understanding","created":"2025-10-09","cited_by_count":6,"area":"inference"},{"id":"2603.21957","title":"Unified Spatiotemporal Token Compression for Video-LLMs at Ultra-Low Retention","created":"2026-03-23","cited_by_count":6,"area":"inference"},{"id":"2506.02850","title":"METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding","created":"2025-06-03","cited_by_count":5,"area":"inference"},{"id":"2512.12284","title":"V-Rex: Real-Time Streaming Video LLM Acceleration via Dynamic KV Cache Retrieval","created":"2025-12-13","cited_by_count":5,"area":"inference"},{"id":"2603.01400","title":"Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models","created":"2026-03-02","cited_by_count":5,"area":"inference"},{"id":"2605.30010","title":"EarlyTom: Early Token Compression Completes Fast Video Understanding","created":"2026-05-28","cited_by_count":4,"area":"inference"},{"id":"2505.20100","title":"AdaTP: Attention-Debiased Token Pruning for Video Large Language Models","created":"2025-05-26","cited_by_count":3,"area":"inference"},{"id":"2606.10533","title":"Audio-Visual Exchange-Aware Token Pruning for Efficient Audio-Visual Captioning","created":"2026-06-09","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":"2511.12201","title":"OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs","created":"2025-11-15","cited_by_count":2,"area":"inference"},{"id":"2602.15836","title":"EdgeNav-QE: QLoRA Quantization and Dynamic Early Exit for LAM-based Navigation on Edge Devices","created":"2026-01-12","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":"2601.20357","title":"TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs","created":"2026-01-28","cited_by_count":1,"area":"inference"},{"id":"2602.18434","title":"Going Down Memory Lane: Scaling Tokens for Video Stream Understanding with Dynamic KV-Cache Memory","created":"2026-02-20","cited_by_count":1,"area":"inference"},{"id":"2604.13432","title":"MaMe & MaRe: Matrix-Based Token Merging and Restoration for Efficient Visual Perception and Synthesis","created":"2026-04-15","cited_by_count":1,"area":"inference"},{"id":"2605.10050","title":"EchoPrune: Interpreting Redundancy as Temporal Echoes for Efficient VideoLLMs","created":"2026-05-11","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":"2604.09547","title":"Tango: Taming Visual Signals for Efficient Video Large Language Models","created":"2026-04-10","cited_by_count":0,"area":"inference"},{"id":"2606.31093","title":"Omni-Flow: A Unified Workflow Orchestration and Distributed KV Cache Sharing Framework for Multimodal Inference","created":"2026-06-30","cited_by_count":0,"area":"inference"},{"id":"2607.09080","title":"GeoTrace: Geometry-Aware Trajectory Token Compression for Video Large Language Models","created":"2026-07-10","cited_by_count":0,"area":"inference"},{"id":"2608.26142","title":"Position Is All You Need: A Free Lunch Token Compression Strategy for MLLM-based Referring Expression Segmentation","created":"2026-06-26","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":"2609.08331","title":"Do Input-Level Defenses Transfer to Observation-Level Attacks on VideoLLMs?","created":"2026-09-08","cited_by_count":0,"area":"inference"},{"id":"2609.08345","title":"CoVeR: Coverage-Based Token Pruning for Multi-View 3D Reasoning in VLMs","created":"2026-09-08","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"}],"next_cursor":null}