{"total":57,"rows":[{"id":"2405.19209","title":"VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos","created":"2024-05-29","cited_by_count":251,"area":"lr"},{"id":"2503.19755","title":"ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation","created":"2025-03-25","cited_by_count":178,"area":"lr"},{"id":"2508.05629","title":"On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification","created":"2025-08-07","cited_by_count":127,"area":"lr"},{"id":"2403.18406","title":"An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM","created":"2024-03-27","cited_by_count":97,"area":"lr"},{"id":"2508.04416","title":"Thinking With Videos: Multimodal Tool-Augmented Reinforcement Learning for Long Video Reasoning","created":"2025-08-06","cited_by_count":91,"area":"lr"},{"id":"2503.11495","title":"V-STaR: Benchmarking Video-LLMs on Video Spatio-Temporal Reasoning","created":"2025-03-14","cited_by_count":68,"area":"lr"},{"id":"2506.13654","title":"Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning","created":"2025-06-16","cited_by_count":68,"area":"lr"},{"id":"2411.14794","title":"VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection","created":"2024-11-22","cited_by_count":65,"area":"lr"},{"id":"2511.20785","title":"LongVT: Incentivizing \"Thinking with Long Videos\" via Native Tool Calling","created":"2025-11-25","cited_by_count":61,"area":"lr"},{"id":"2311.15209","title":"See and Think: Embodied Agent in Virtual Environment","created":"2023-11-26","cited_by_count":54,"area":"lr"},{"id":"2503.13444","title":"VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning","created":"2025-03-17","cited_by_count":43,"area":"lr"},{"id":"2506.06097","title":"VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning","created":"2025-06-06","cited_by_count":32,"area":"lr"},{"id":"2510.14032","title":"Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding","created":"2025-10-15","cited_by_count":31,"area":"lr"},{"id":"2405.03690","title":"How Good is my Video LMM? Complex Video Reasoning and Robustness Evaluation Suite for Video-LMMs","created":"2024-05-06","cited_by_count":30,"area":"lr"},{"id":"2511.23075","title":"SpaceMind: Camera-Guided Modality Fusion for Spatial Reasoning in Vision-Language Models","created":"2025-11-28","cited_by_count":26,"area":"lr"},{"id":"2503.24376","title":"Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1","created":"2025-03-31","cited_by_count":25,"area":"lr"},{"id":"2506.05349","title":"VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Videos","created":"2025-06-05","cited_by_count":25,"area":"lr"},{"id":"2407.14500","title":"ViLLa: Video Reasoning Segmentation with Large Language Model","created":"2024-07-18","cited_by_count":24,"area":"lr"},{"id":"2603.12262","title":"Video Streaming Thinking: VideoLLMs Can Watch and Think Simultaneously","created":"2026-03-12","cited_by_count":22,"area":"lr"},{"id":"2505.02064","title":"RTV-Bench: Benchmarking MLLM Continuous Perception, Understanding and Reasoning through Real-Time Video","created":"2025-05-04","cited_by_count":21,"area":"lr"},{"id":"2501.04670","title":"Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs","created":"2025-01-08","cited_by_count":16,"area":"lr"},{"id":"2504.20091","title":"VideoMultiAgents: A Multi-Agent Framework for Video Question Answering","created":"2025-04-25","cited_by_count":16,"area":"lr"},{"id":"2508.19542","title":"CVBench: Benchmarking Cross-Video Synergies for Complex Multimodal Reasoning","created":"2025-08-27","cited_by_count":16,"area":"lr"},{"id":"2603.01455","title":"From Verbatim to Gist: Distilling Pyramidal Multimodal Memory via Semantic Information Bottleneck for Long-Horizon Video Agents","created":"2026-03-02","cited_by_count":15,"area":"lr"},{"id":"2312.17117","title":"Grounding-Prompter: Prompting LLM with Multimodal Information for Temporal Sentence Grounding in Long Videos","created":"2023-12-28","cited_by_count":14,"area":"lr"},{"id":"2505.01583","title":"TEMPURA: Temporal Event Masked Prediction and Understanding for Reasoning in Action","created":"2025-05-02","cited_by_count":14,"area":"lr"},{"id":"2505.24869","title":"SiLVR: A Simple Language-based Video Reasoning Framework","created":"2025-05-30","cited_by_count":14,"area":"lr"},{"id":"2403.14743","title":"VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding","created":"2024-03-21","cited_by_count":13,"area":"lr"},{"id":"2506.17629","title":"CLiViS: Unleashing Cognitive Map through Linguistic-Visual Synergy for Embodied Visual Reasoning","created":"2025-06-21","cited_by_count":13,"area":"lr"},{"id":"2508.01546","title":"E-VRAG: Enhancing Long Video Understanding with Resource-Efficient Retrieval Augmented Generation","created":"2025-08-03","cited_by_count":12,"area":"lr"},{"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":"2510.06040","title":"VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization","created":"2025-10-07","cited_by_count":11,"area":"lr"},{"id":"2501.01426","title":"Unifying Specialized Visual Encoders for Video Language Models","created":"2025-01-02","cited_by_count":10,"area":"lr"},{"id":"2607.24904","title":"Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model","created":"2026-07-27","cited_by_count":10,"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":"2511.00141","title":"FLoC: Facility Location-Based Efficient Visual Token Compression for Long Video Understanding","created":"2025-10-31","cited_by_count":6,"area":"lr"},{"id":"2511.20644","title":"Vision-Language Memory for Spatial Reasoning","created":"2025-11-25","cited_by_count":5,"area":"lr"},{"id":"2512.16978","title":"A Benchmark for Omni-Modal Reasoning in Long Videos","created":"2025-12-18","cited_by_count":5,"area":"lr"},{"id":"2512.09354","title":"Video-QTR: Query-Driven Temporal Reasoning Framework for Lightweight Video Understanding","created":"2025-12-10","cited_by_count":4,"area":"lr"},{"id":"2603.27593","title":"STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding","created":"2026-03-29","cited_by_count":4,"area":"lr"},{"id":"2509.17743","title":"VideoPro: Adaptive Program Reasoning for Long Video Understanding","created":"2025-09-22","cited_by_count":3,"area":"lr"},{"id":"2601.01095","title":"NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding","created":"2026-01-03","cited_by_count":3,"area":"lr"},{"id":"2510.19592","title":"Decomposed Attention Fusion in MLLMs for Training-Free Video Reasoning Segmentation","created":"2025-10-22","cited_by_count":2,"area":"lr"},{"id":"2605.19322","title":"DynaTok: Temporally Adaptive and Positional Bias-Aware Token Compression for Video-LLMs","created":"2026-05-19","cited_by_count":2,"area":"lr"},{"id":"2603.09731","title":"EXPLORE-Bench: Egocentric Scene Prediction with Long-Horizon Reasoning","created":"2026-03-10","cited_by_count":1,"area":"lr"},{"id":"2605.13228","title":"ReTool-Video: Recursive Tool-Using Video Agents with Meta-Augmented Tool Grounding","created":"2026-05-13","cited_by_count":1,"area":"lr"},{"id":"2606.05736","title":"VTI-CoT: Visual-Textual Interleaved Chain of Thought for Video Reasoning","created":"2026-06-04","cited_by_count":1,"area":"lr"},{"id":"2610.04318","title":"Rethinking Long-Video Efficiency: A Joint Allocation Perspective on Frames, Pixels, and Front-End Latency","created":"2026-10-03","cited_by_count":1,"area":"lr"},{"id":"2506.11558","title":"DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMs","created":"2025-06-13","cited_by_count":0,"area":"lr"},{"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":"2605.15054","title":"LATERN: Test-Time Context-Aware Explainable Video Anomaly Detection","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2606.21734","title":"HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning","created":"2026-06-19","cited_by_count":0,"area":"lr"},{"id":"2607.13569","title":"GHR-VLM: Making Zero-Shot Transit Video Analytics Realizable with Grounded Hybrid Reasoning","created":"2026-07-15","cited_by_count":0,"area":"lr"},{"id":"2608.28699","title":"Beyond Visual Boundaries: Rethinking Scene Segmentation for Movie RAG","created":"2026-08-27","cited_by_count":0,"area":"lr"},{"id":"2609.15606","title":"VideoScout: Learning Agentic Active Exploration with Adaptive Reasoning Pacing for Long Video Understanding","created":"2026-09-14","cited_by_count":0,"area":"lr"},{"id":"2609.28991","title":"Beneath the Scores: Rethinking Hallucination Evaluation for Video Understanding Models","created":"2026-09-24","cited_by_count":0,"area":"lr"},{"id":"2610.01754","title":"Cog-VADU: A Training-Free Cognitive Reasoning Framework for Video Anomaly Detection and Understanding","created":"2026-10-01","cited_by_count":0,"area":"lr"}],"next_cursor":null}