{"total":23,"rows":[{"id":"2507.05240","title":"StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling","created":"2025-07-07","cited_by_count":118,"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":"2505.18227","title":"Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality","created":"2025-05-23","cited_by_count":50,"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":"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":"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":"2603.15685","title":"DASH: Dynamic Audio-Driven Semantic Chunking for Efficient Omnimodal Token Compression","created":"2026-03-15","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":"2605.30010","title":"EarlyTom: Early Token Compression Completes Fast Video Understanding","created":"2026-05-28","cited_by_count":4,"area":"inference"},{"id":"2603.05663","title":"Keeping the Evidence Chain: Semantic Evidence Allocation for Training-Free Token Pruning in Video Temporal Grounding","created":"2026-03-05","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":"2603.27650","title":"V-CAST: Video Curvature-Aware Spatio-Temporal Pruning for Efficient Video Large Language Models","created":"2026-03-29","cited_by_count":2,"area":"inference"},{"id":"2607.03050","title":"OmniFocus: Query-Guided Modality-Balanced Token Compression for Omni-Modal Large Language Models","created":"2026-07-03","cited_by_count":2,"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":"2607.25669","title":"OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs","created":"2026-07-28","cited_by_count":1,"area":"inference"},{"id":"2608.01665","title":"Allocation Before Ranking: Decoupled Token Compression for OmniLLMs","created":"2026-08-03","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":"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":"2609.37042","title":"GleanVID: Complementary Token Selection for Efficient Video Large Language Models","created":"2026-09-29","cited_by_count":0,"area":"inference"},{"id":"2610.12959","title":"Video Codec-Guided Training-Free Token Compression for Video Large Language Models","created":"2026-10-09","cited_by_count":0,"area":"inference"},{"id":"2610.17355","title":"WIRE: Weight Space Implicit Representation Encoding of Frozen Video LLMs","created":"2026-10-12","cited_by_count":0,"area":"inference"}],"next_cursor":null}