{"total":33,"rows":[{"id":"2509.24871","title":"StreamForest: Efficient Online Video Understanding with Persistent Event Memory","created":"2025-09-29","cited_by_count":78,"area":"mllm"},{"id":"2508.15717","title":"StreamMem: Query-Agnostic KV Cache Memory for Streaming Video Understanding","created":"2025-08-21","cited_by_count":58,"area":"mllm"},{"id":"2510.18269","title":"StreamingTOM: Streaming Token Compression for Efficient Video Understanding","created":"2025-10-21","cited_by_count":43,"area":"mllm"},{"id":"2503.12769","title":"ViSpeak: Visual Instruction Feedback in Streaming Videos","created":"2025-03-17","cited_by_count":42,"area":"mllm"},{"id":"2601.14724","title":"HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding","created":"2026-01-21","cited_by_count":41,"area":"mllm"},{"id":"2512.06810","title":"MMDuet2: Enhancing Proactive Interaction of Video MLLMs with Multi-Turn Reinforcement Learning","created":"2025-12-07","cited_by_count":22,"area":"mllm"},{"id":"2601.22575","title":"PhoStream: Benchmarking Real-World Streaming for Omnimodal Assistants in Mobile Scenarios","created":"2026-01-30","cited_by_count":10,"area":"mllm"},{"id":"2603.29252","title":"Scaling the Long Video Understanding of Multimodal Large Language Models via Visual Memory Mechanism","created":"2026-03-31","cited_by_count":9,"area":"mllm"},{"id":"2604.01966","title":"Ego-Grounding for Personalized Question-Answering in Egocentric Videos","created":"2026-04-02","cited_by_count":7,"area":"mllm"},{"id":"2605.27074","title":"IPIBench: Evaluating Interactive Proactive Intelligence of MLLMs under Continuous Streams","created":"2026-05-26","cited_by_count":7,"area":"mllm"},{"id":"2601.10323","title":"ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding","created":"2026-01-15","cited_by_count":6,"area":"mllm"},{"id":"2606.03890","title":"OVO-S-Bench: A Hierarchical Benchmark for Streaming Spatial Intelligence in Multimodal LLMs","created":"2026-06-02","cited_by_count":6,"area":"mllm"},{"id":"2606.24422","title":"EgoSAT: A Comprehensive Benchmark of Egocentric Streaming Interaction Understanding","created":"2026-06-23","cited_by_count":6,"area":"mllm"},{"id":"2511.13261","title":"Building Egocentric Procedural AI Assistant: Methods, Benchmarks, and Challenges","created":"2025-11-17","cited_by_count":5,"area":"mllm"},{"id":"2602.08448","title":"Vista: Scene-Aware Optimization for Streaming Video Question Answering under Post-Hoc Queries","created":"2026-02-09","cited_by_count":5,"area":"mllm"},{"id":"2603.19571","title":"CurveStream: Boosting Streaming Video Understanding in MLLMs via Curvature-Aware Hierarchical Visual Memory Management","created":"2026-03-20","cited_by_count":5,"area":"mllm"},{"id":"2606.08615","title":"Harnessing Streaming Video in the Wild","created":"2026-06-07","cited_by_count":4,"area":"mllm"},{"id":"2606.25658","title":"Towards a Dynamic and Fixed-budget Memory Bank for Efficient Streaming Video Understanding","created":"2026-06-24","cited_by_count":4,"area":"mllm"},{"id":"2508.16070","title":"Less Redundancy: Boosting Practicality of Vision Language Model in Walking Assistants","created":"2025-08-22","cited_by_count":2,"area":"mllm"},{"id":"2602.01683","title":"FreshMem: Brain-Inspired Frequency-Space Hybrid Memory for Streaming Video Understanding","created":"2026-02-02","cited_by_count":2,"area":"mllm"},{"id":"2604.07634","title":"VSAS-Bench: Real-Time Evaluation of Visual Streaming Assistant Models","created":"2026-04-08","cited_by_count":1,"area":"mllm"},{"id":"2605.31598","title":"Linear Scaling Video VLMs for Long Video Understanding","created":"2026-05-29","cited_by_count":1,"area":"mllm"},{"id":"2606.00620","title":"FlowNar: Scalable Streaming Narration for Long-Form Videos","created":"2026-05-30","cited_by_count":1,"area":"mllm"},{"id":"2607.02991","title":"GuideMe: Multi-Domain Task Guidance and Intervention in Streaming Video","created":"2026-07-03","cited_by_count":1,"area":"mllm"},{"id":"2608.10949","title":"StreamFlow: Dynamic Memory Flows for Streaming Video Understanding","created":"2026-08-11","cited_by_count":1,"area":"mllm"},{"id":"2608.27881","title":"StreamEMS: Streaming Video Understanding with Self-Evolving Memory Scheme for Vision-Language Models","created":"2026-08-28","cited_by_count":1,"area":"mllm"},{"id":"2609.04131","title":"Beyond Retrieval: Progressive Latent Memory Evolution for Streaming Video Understanding","created":"2026-09-03","cited_by_count":1,"area":"mllm"},{"id":"2505.11326","title":"Temporally-Grounded Language Generation: Towards Real-Time Vision-Language Models","created":"2025-05-16","cited_by_count":0,"area":"mllm"},{"id":"2603.25841","title":"GazeQwen: Lightweight Gaze-Conditioned LLM Modulation for Streaming Video Understanding","created":"2026-03-26","cited_by_count":0,"area":"mllm"},{"id":"2609.03675","title":"CoFiE: Coarse-to-Fine Evidence Selection for Efficient Streaming Video Understanding","created":"2026-09-03","cited_by_count":0,"area":"mllm"},{"id":"2609.17921","title":"Collaborative Memory for Multi-Agent VLM Systems","created":"2026-09-15","cited_by_count":0,"area":"mllm"},{"id":"2609.32182","title":"KeyRec: Bounded Visual Memory for Streaming and Long-Video Understanding","created":"2026-09-26","cited_by_count":0,"area":"mllm"},{"id":"2610.03123","title":"Foresight: planning future perception in streaming VLMs without retraining","created":"2026-10-02","cited_by_count":0,"area":"mllm"}],"next_cursor":null}