{"total":88,"rows":[{"id":"2510.20328","title":"MemER: Scaling Up Memory for Robot Control via Experience Retrieval","created":"2025-10-23","cited_by_count":67,"area":null},{"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":"2506.00318","title":"Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning","created":"2025-05-31","cited_by_count":37,"area":"lr"},{"id":"2510.27280","title":"FOCUS: Efficient Keyframe Selection for Long Video Understanding","created":"2025-10-31","cited_by_count":37,"area":"mllm"},{"id":"2508.01875","title":"StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding","created":"2025-08-03","cited_by_count":33,"area":"inference"},{"id":"2506.18883","title":"Universal Video Temporal Grounding with Generative Multi-modal Large Language Models","created":"2025-06-23","cited_by_count":27,"area":"mllm"},{"id":"2508.04369","title":"TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding","created":"2025-08-06","cited_by_count":25,"area":"mllm"},{"id":"2510.12422","title":"VideoLucy: Deep Memory Backtracking for Long Video Understanding","created":"2025-10-14","cited_by_count":22,"area":null},{"id":"2508.05294","title":"Towards Embodied Agentic AI: Review and Classification of LLM- and VLM-Driven Robot Autonomy and Interaction","created":"2025-08-07","cited_by_count":19,"area":"mllm"},{"id":"2603.24558","title":"LensWalk: Agentic Video Understanding by Planning How You See in Videos","created":"2026-03-25","cited_by_count":17,"area":"mllm"},{"id":"2506.01274","title":"ReFoCUS: Reinforcement-guided Frame Optimization for Contextual Understanding","created":"2025-06-02","cited_by_count":16,"area":"mllm"},{"id":"2509.16087","title":"See&Trek: Training-Free Spatial Prompting for Multimodal Large Language Model","created":"2025-09-19","cited_by_count":15,"area":"mllm"},{"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":"2505.15447","title":"ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning","created":"2025-05-21","cited_by_count":11,"area":"lr"},{"id":"2510.13891","title":"K-frames: Scene-Driven Any-k Keyframe Selection for long video understanding","created":"2025-10-14","cited_by_count":11,"area":"mllm"},{"id":"2505.24158","title":"Threading Keyframe with Narratives: MLLMs as Strong Long Video Comprehenders","created":"2025-05-30","cited_by_count":10,"area":"mllm"},{"id":"2512.10359","title":"Tool-Augmented Spatiotemporal Reasoning for Streamlining Video Question Answering Task","created":"2025-12-11","cited_by_count":10,"area":"lr"},{"id":"2510.02262","title":"From Frames to Clips: Training-free Adaptive Key Clip Selection for Long-Form Video Understanding","created":"2025-10-02","cited_by_count":9,"area":null},{"id":"2510.02778","title":"AdaRD-key: Adaptive Relevance-Diversity Keyframe Sampling for Long-form Video understanding","created":"2025-10-03","cited_by_count":9,"area":null},{"id":"2604.05546","title":"Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects","created":"2026-04-07","cited_by_count":9,"area":"lr"},{"id":"2510.05034","title":"Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models","created":"2025-10-06","cited_by_count":8,"area":"lr"},{"id":"2512.14273","title":"Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in","created":"2025-12-16","cited_by_count":8,"area":null},{"id":"2601.13719","title":"Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search","created":"2026-01-20","cited_by_count":8,"area":"mllm"},{"id":"2510.03584","title":"FrameOracle: Learning What to See and How Much to See in Videos","created":"2025-10-04","cited_by_count":7,"area":"mllm"},{"id":"2602.22932","title":"MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video Understanding","created":"2026-02-26","cited_by_count":6,"area":"mllm"},{"id":"2603.22918","title":"EVA: Efficient Reinforcement Learning for End-to-End Video Agent","created":"2026-03-24","cited_by_count":6,"area":"lr"},{"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":"2606.20905","title":"Vesta: A Generalist Embodied Reasoning Model","created":"2026-06-18","cited_by_count":5,"area":"lr"},{"id":"2506.11162","title":"VIBE: Can a VLM Read the Room?","created":"2025-06-11","cited_by_count":4,"area":null},{"id":"2509.20851","title":"Poisoning Prompt-Guided Sampling in Video Large Language Models","created":"2025-09-25","cited_by_count":4,"area":null},{"id":"2603.00198","title":"Stateful Token Reduction for Long-Video Hybrid VLMs","created":"2026-02-27","cited_by_count":4,"area":"ssm"},{"id":"2603.18558","title":"HiMu: Hierarchical Multimodal Frame Selection for Long Video Question Answering","created":"2026-03-19","cited_by_count":4,"area":"mllm"},{"id":"2603.22120","title":"StreamingClaw Technical Report","created":"2026-03-23","cited_by_count":4,"area":null},{"id":"2604.05079","title":"SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration","created":"2026-04-06","cited_by_count":4,"area":null},{"id":"2509.01167","title":"TempCore: Are Video QA Benchmarks Temporally Grounded?","created":"2025-09-01","cited_by_count":3,"area":"mllm"},{"id":"2510.04428","title":"A.I.R.: Enabling Adaptive, Iterative, and Reasoning-based Frame Selection For Video Question Answering","created":"2025-10-06","cited_by_count":3,"area":"lr"},{"id":"2511.17945","title":"Test-Time Temporal Sampling for Efficient MLLM Video Understanding","created":"2025-11-22","cited_by_count":3,"area":"mllm"},{"id":"2511.18831","title":"VideoCompressa: Data-Efficient Video Understanding via Joint Temporal Compression and Spatial Reconstruction","created":"2025-11-24","cited_by_count":3,"area":null},{"id":"2603.23186","title":"ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting","created":"2026-03-24","cited_by_count":3,"area":null},{"id":"2603.25021","title":"VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning","created":"2026-03-26","cited_by_count":3,"area":"lr"},{"id":"2604.01002","title":"Query-Conditioned Evidential Keyframe Sampling for MLLM-Based Long-Form Video Understanding","created":"2026-04-01","cited_by_count":3,"area":"mllm"},{"id":"2602.22716","title":"SoPE: Spherical Coordinate-Based Positional Embedding for Enhancing Spatial Perception of 3D LVLMs","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2603.14052","title":"A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning","created":"2026-03-14","cited_by_count":2,"area":"agents"},{"id":"2603.28696","title":"AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding","created":"2026-03-30","cited_by_count":2,"area":"mllm"},{"id":"2605.11477","title":"LDDR: Linear-DPP-Based Dynamic-Resolution Frame Sampling for Video MLLMs","created":"2026-05-12","cited_by_count":2,"area":"mllm"},{"id":"2605.22678","title":"Swift Sampling: Selecting Temporal Surprises via Taylor Series","created":"2026-05-21","cited_by_count":2,"area":null},{"id":"2605.31029","title":"PEEK: Picking Essential frames via Efficient Knowledge distillation","created":"2026-05-29","cited_by_count":2,"area":"distill"},{"id":"2606.05917","title":"MemoryCard: Topic-Aware Multi-Modal Clue Compression for Long-Video Question Answering","created":"2026-06-04","cited_by_count":2,"area":"mllm"},{"id":"2607.01737","title":"ReQuest: Rethinking-based Question-Aware Frame Selection for Long-Form Video QA","created":"2026-07-02","cited_by_count":2,"area":"lr"},{"id":"2607.25125","title":"LENS: Adaptive Spatio-Temporal Zooming for Keyframe Sampling in Long-Form Videos","created":"2026-07-27","cited_by_count":2,"area":"mllm"},{"id":"2608.07014","title":"Stable Curves, Unstable Items: Item-Level Scaling Heterogeneity in Video LLMs","created":"2026-08-07","cited_by_count":2,"area":null},{"id":"2508.06869","title":"VSI: Visual Subtitle Integration for Keyframe Selection to enhance Long Video Understanding","created":"2025-08-09","cited_by_count":1,"area":"mllm"},{"id":"2509.23433","title":"SPIKE-RL: Video-LLMs meet Bayesian Surprise","created":"2025-09-27","cited_by_count":1,"area":null},{"id":"2601.14594","title":"LFS: Learnable Frame Selector for Event-Aware and Temporally Diverse Video Captioning","created":"2026-01-21","cited_by_count":1,"area":null},{"id":"2603.20180","title":"Adaptive Greedy Frame Selection for Long Video Understanding","created":"2026-03-20","cited_by_count":1,"area":null},{"id":"2605.09223","title":"CREST: Curvature-Regulated Event-Centric Sampling for Efficient Long-Video Understanding","created":"2026-05-09","cited_by_count":1,"area":null},{"id":"2605.23826","title":"Decomposing Queries into Tool Calls for Long-Video Keyframe Retrieval","created":"2026-05-22","cited_by_count":1,"area":null},{"id":"2606.13141","title":"Rethinking RAG in Long Videos: What to Retrieve and How to Use It?","created":"2026-06-11","cited_by_count":1,"area":"rag"},{"id":"2607.00672","title":"DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2607.04079","title":"Seeing Once is Enough? Online Geometry-Aware Token Pruning for 3D Question Answering","created":"2026-07-05","cited_by_count":1,"area":"mllm"},{"id":"2608.00714","title":"Coverage-Driven Adaptive Keyframe Selection for Video Understanding","created":"2026-08-01","cited_by_count":1,"area":"mllm"},{"id":"2608.05707","title":"One Ranking, Any Budget: Matryoshka Evidence-to-Context Frame Selection for Long-Video Understanding","created":"2026-08-06","cited_by_count":1,"area":"mllm"},{"id":"2609.15128","title":"Omni-Streaming Thinking","created":"2026-09-14","cited_by_count":1,"area":null},{"id":"2609.18540","title":"SVMemAgent: A Streaming Video Memory Agent for Query-Agnostic Online Frame Selection","created":"2026-09-16","cited_by_count":1,"area":null},{"id":"2506.16701","title":"Language-driven Description Generation and Common Sense Reasoning for Video Action Recognition","created":"2025-06-20","cited_by_count":0,"area":"lr"},{"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":"2601.07761","title":"Video Evidence to Reasoning Efficient Video Understanding via Explicit Evidence Grounding","created":"2026-01-12","cited_by_count":0,"area":"lr"},{"id":"2601.13974","title":"STEC: A Reference-Free Spatio-Temporal Entropy Coverage Metric for Evaluating Sampled Video Frames","created":"2026-01-20","cited_by_count":0,"area":null},{"id":"2604.23724","title":"Zoom In, Reason Out: Efficient Far-field Anomaly Detection in Expressway Surveillance Videos via Focused VLM Reasoning Guided by Bayesian Inference","created":"2026-04-26","cited_by_count":0,"area":"lr"},{"id":"2607.04559","title":"QSVideo: Query-Conditioned Semantic Temporal Retrieval for Video Understanding","created":"2026-07-06","cited_by_count":0,"area":"mllm"},{"id":"2607.17994","title":"HAS: Highlight-guided Attention Steering for Multimodal LLM Video Summarization","created":"2026-07-20","cited_by_count":0,"area":"mllm"},{"id":"2607.25266","title":"FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding","created":"2026-07-28","cited_by_count":0,"area":"mllm"},{"id":"2607.28463","title":"VisualRouter: Query-Grounded Visual Sampling for Long Video Understanding","created":"2026-07-30","cited_by_count":0,"area":"mllm"},{"id":"2608.05780","title":"Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2608.15058","title":"MEDR: Query-Independent Frame Selection via Multi-Signal Event Modeling and Dynamic Rescoring","created":"2026-08-15","cited_by_count":0,"area":"mllm"},{"id":"2608.28699","title":"Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2608.29958","title":"RIDGE: Region-Informed Derivative-Guided Evidence Selection for Long Video Understanding","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2609.04741","title":"Where to Look Matters: Learning Influential Views for VLM-based 3D Visual Grounding","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"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":"2609.10355","title":"Why Is Video Still So Expensive? A Survey of Inference-Efficiency Mechanisms in Video and Audiovisual LLMs","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.13250","title":"Evaluation of MLLM-Agnostic Plug-and-Play Keyframe Selection Methods for Long Video Understanding","created":"2026-09-04","cited_by_count":0,"area":"mllm"},{"id":"2609.14790","title":"Zero-shot video highlight detection based on text descriptions and synthetic images","created":"2026-09-13","cited_by_count":0,"area":"diffusion"},{"id":"2609.20508","title":"Grounded Product Understanding in Livestream Videos","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.31713","title":"Agentic Video Understanding: A Survey","created":"2026-09-21","cited_by_count":0,"area":"agents"},{"id":"2609.33998","title":"MetaSampling: Making Frame Samplers Efficient for Long-Video Question Answering","created":"2026-09-27","cited_by_count":0,"area":"mllm"},{"id":"2609.38839","title":"FrameMorrow: Future-guided Frame Selection with Prospective Tokens for Long-Horizon Video Generation","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.00809","title":"Paying for Too Many Tokens? Valid and Cost-Efficient Multimodal LLM Annotation with Simple Heuristics","created":"2026-09-30","cited_by_count":0,"area":"mllm"},{"id":"2610.19050","title":"Focus, Align, and Diffuse: Time-Series-Aware Keyframe Diffusion for Cardiac Dynamic Synthesis from Sparse Observations","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}