{"total":51,"rows":[{"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":"2506.15745","title":"InfiniPot-V: Memory-Constrained KV Cache Compression for Streaming Video Understanding","created":"2025-06-18","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":"2512.00891","title":"Accelerating Streaming Video Large Language Models via Hierarchical Token Compression","created":"2025-11-30","cited_by_count":37,"area":"inference"},{"id":"2412.20504","title":"ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding","created":"2024-12-29","cited_by_count":33,"area":"inference"},{"id":"2508.01875","title":"StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding","created":"2025-08-03","cited_by_count":33,"area":"inference"},{"id":"2507.07990","title":"Multi-Granular Spatio-Temporal Token Merging for Training-Free Acceleration of Video LLMs","created":"2025-07-10","cited_by_count":31,"area":"inference"},{"id":"2506.04997","title":"Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings","created":"2025-06-05","cited_by_count":26,"area":"inference"},{"id":"2511.07278","title":"StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression","created":"2025-11-10","cited_by_count":26,"area":"inference"},{"id":"2511.14582","title":"OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models","created":"2025-11-18","cited_by_count":22,"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":"2505.21233","title":"CROP: Contextual Region-Oriented Visual Token Pruning","created":"2025-05-27","cited_by_count":14,"area":"inference"},{"id":"2602.10238","title":"Learning to Evict from Key-Value Cache","created":"2026-02-10","cited_by_count":14,"area":"inference"},{"id":"2503.16257","title":"Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models","created":"2025-03-20","cited_by_count":13,"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":"2505.21594","title":"Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits","created":"2025-05-27","cited_by_count":11,"area":"inference"},{"id":"2512.12560","title":"StreamingAssistant: Efficient Visual Token Pruning for Accelerating Online Video Understanding","created":"2025-12-14","cited_by_count":10,"area":"inference"},{"id":"2409.14364","title":"Position IDs Matter: An Enhanced Position Layout for Efficient Context Compression in Large Language Models","created":"2024-09-22","cited_by_count":9,"area":"inference"},{"id":"2511.05534","title":"FlowMM: Cross-Modal Information Flow Guided KV Cache Merging for Efficient Multimodal Context Inference","created":"2025-10-29","cited_by_count":6,"area":"inference"},{"id":"2512.10324","title":"EchoingPixels: Aliasing-Resistant Joint Token Reduction for Audio-Visual LLMs","created":"2025-12-11","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":"2605.18041","title":"OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models","created":"2026-05-18","cited_by_count":4,"area":"inference"},{"id":"2504.18579","title":"Sparsity Forcing: Reinforcing Token Sparsity of MLLMs","created":"2025-04-23","cited_by_count":3,"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":"2510.14686","title":"xLLM Technical Report","created":"2025-10-16","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":"2606.02161","title":"InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models","created":"2026-06-01","cited_by_count":3,"area":"inference"},{"id":"2505.16502","title":"Recursive Offloading for LLM Serving in Multi-tier Networks","created":"2025-05-22","cited_by_count":2,"area":"inference"},{"id":"2603.00188","title":"ST-Lite: Training-Free KV Cache Compression with Spatio-Trajectory Guidance for Long-Horizon GUI Agents","created":"2026-02-27","cited_by_count":2,"area":"inference"},{"id":"2604.01881","title":"HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models","created":"2026-04-02","cited_by_count":2,"area":"inference"},{"id":"2606.17798","title":"LiveStarPro: Proactive Streaming Video Understanding with Hierarchical Memory for Long-Horizon Streams","created":"2026-06-16","cited_by_count":2,"area":"inference"},{"id":"2607.04605","title":"Do All Visual Tokens Matter Equally? Object-Evidence Preserving Token Merging for Vision-Language Retrieval","created":"2026-07-06","cited_by_count":2,"area":"inference"},{"id":"2607.21179","title":"Out of Sight, Still in Mind: Token Compression for Omni-LLMs","created":"2026-07-23","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":"2604.03414","title":"KiToke: Kernel-based Interval-aware Token Compression for Video Large Language Models","created":"2026-04-03","cited_by_count":1,"area":"inference"},{"id":"2604.09731","title":"SMART: When is it Actually Worth Expanding a Speculative Tree?","created":"2026-04-09","cited_by_count":1,"area":"inference"},{"id":"2605.11803","title":"OTT-Vid: Optimal Transport Temporal Token Compression for Video Large Language Models","created":"2026-05-12","cited_by_count":1,"area":"inference"},{"id":"2607.23193","title":"OmniScope: Modality-Decoupled Token Compression for Omnimodal Large Language Models","created":"2026-07-25","cited_by_count":1,"area":"inference"},{"id":"2608.08469","title":"Aero Realtime: Fully Aligned Input-Output Streams for Low-Latency Streaming Multimodal Generation","created":"2026-08-09","cited_by_count":1,"area":"inference"},{"id":"2511.18920","title":"EventSTU: Event-Guided Efficient Spatio-Temporal Understanding for Video Large Language Models","created":"2025-11-24","cited_by_count":0,"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":"2605.02262","title":"WindowQuant: Mixed-Precision KV Cache Quantization based on Window-Level Similarity for VLMs Inference Optimization","created":"2026-05-04","cited_by_count":0,"area":"inference"},{"id":"2605.16366","title":"Fre-Res: Frequency-Residual Video Token Compression for Efficient Video MLLMs","created":"2026-05-10","cited_by_count":0,"area":"inference"},{"id":"2606.16633","title":"DCP-Prune: Ultra-Low Token Pruning with Distribution Consistency Preservation","created":"2026-06-15","cited_by_count":0,"area":"inference"},{"id":"2608.01638","title":"Dynamic Resolution Routing for Efficient Egocentric Grounding","created":"2026-08-03","cited_by_count":0,"area":"inference"},{"id":"2608.04515","title":"CARVE: Cross-Slice Anisotropic Reallocation of Visual Evidence for Efficient 3D Medical Volume Understanding","created":"2026-08-05","cited_by_count":0,"area":"inference"},{"id":"2609.36781","title":"Aperture: Merge-Consistent Rotary States for Compressed Tokens","created":"2026-09-29","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}