{"total":17,"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":"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":"2505.10118","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":"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":"2602.21233","title":"AngelSlim: A more accessible, comprehensive, and efficient toolkit for large model compression","created":"2026-02-07","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":"2504.18579","title":"Sparsity Forcing: Reinforcing Token Sparsity of MLLMs","created":"2025-04-23","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":"2503.23959","title":"Local Information Matters: Inference Acceleration For Grounded Conversation Generation Models Through Adaptive Local-Aware Token Pruning","created":"2025-03-31","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":"2607.02484","title":"Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning","created":"2026-07-02","cited_by_count":2,"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":"2607.20467","title":"DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding","created":"2026-05-19","cited_by_count":0,"area":"inference"},{"id":"2608.03083","title":"GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models","created":"2026-08-04","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":"2609.37042","title":"GleanVID: Complementary Token Selection for Efficient Video Large Language Models","created":"2026-09-29","cited_by_count":0,"area":"inference"}],"next_cursor":null}