{"total":56,"rows":[{"id":"2505.05470","title":"Flow-GRPO: Training Flow Matching Models via Online RL","created":"2025-05-08","cited_by_count":661,"area":"lr"},{"id":"2505.07818","title":"DanceGRPO: Unleashing GRPO on Visual Generation","created":"2025-05-12","cited_by_count":413,"area":"lr"},{"id":"2509.08827","title":"A Survey of Reinforcement Learning for Large Reasoning Models","created":"2025-09-10","cited_by_count":180,"area":"lr"},{"id":"2510.26802","title":"Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark","created":"2025-10-30","cited_by_count":43,"area":"lr"},{"id":"2511.04570","title":"Thinking with Video: Video Generation as a Promising Multimodal Reasoning Paradigm","created":"2025-11-06","cited_by_count":42,"area":"lr"},{"id":"2503.14350","title":"VEGGIE: Instructional Editing and Reasoning Video Concepts with Grounded Generation","created":"2025-03-18","cited_by_count":40,"area":"lr"},{"id":"2503.18942","title":"Video-T1: Test-Time Scaling for Video Generation","created":"2025-03-24","cited_by_count":40,"area":"lr"},{"id":"2505.17618","title":"Scaling Image and Video Generation via Test-Time Evolutionary Search","created":"2025-05-23","cited_by_count":40,"area":"lr"},{"id":"2602.20159","title":"A Very Big Video Reasoning Suite","created":"2026-02-23","cited_by_count":34,"area":"lr"},{"id":"2607.05391","title":"LLM-as-a-Verifier: A General-Purpose Verification Framework","created":"2026-07-06","cited_by_count":30,"area":"lr"},{"id":"2510.04290","title":"ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation","created":"2025-10-05","cited_by_count":29,"area":"lr"},{"id":"2512.15693","title":"Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning","created":"2025-12-17","cited_by_count":25,"area":"lr"},{"id":"2511.15065","title":"Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks","created":"2025-11-19","cited_by_count":22,"area":"lr"},{"id":"2510.01982","title":"Fine-Grained GRPO for Precise Preference Alignment in Flow Models","created":"2025-10-02","cited_by_count":21,"area":"lr"},{"id":"2511.13704","title":"TiViBench: Benchmarking Think-in-Video Reasoning for Video Generative Models","created":"2025-11-17","cited_by_count":19,"area":"lr"},{"id":"2511.13853","title":"Can World Simulators Reason? Gen-ViRe: A Generative Visual Reasoning Benchmark","created":"2025-11-17","cited_by_count":19,"area":"lr"},{"id":"2504.15932","title":"Reasoning Physical Video Generation with Diffusion Timestep Tokens via Reinforcement Learning","created":"2025-04-22","cited_by_count":18,"area":"lr"},{"id":"2505.21653","title":"Think Before You Diffuse: Infusing Physical Rules into Video Diffusion","created":"2025-05-27","cited_by_count":16,"area":"lr"},{"id":"2510.02282","title":"VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL","created":"2025-10-02","cited_by_count":15,"area":"lr"},{"id":"2603.21872","title":"Manifold-Aware Exploration for Reinforcement Learning in Video Generation","created":"2026-03-23","cited_by_count":15,"area":"lr"},{"id":"2603.16870","title":"Demystifying Video Reasoning","created":"2026-03-17","cited_by_count":14,"area":"lr"},{"id":"2512.02622","title":"RULER-Bench: Probing Rule-based Reasoning Abilities of Next-level Video Generation Models for Vision Foundation Intelligence","created":"2025-12-02","cited_by_count":13,"area":"lr"},{"id":"2605.22344","title":"Bernini: Latent Semantic Planning for Video Diffusion","created":"2026-05-21","cited_by_count":12,"area":"lr"},{"id":"2510.20206","title":"RAPO++: Cross-Stage Prompt Optimization for Text-to-Video Generation via Data Alignment and Test-Time Scaling","created":"2025-10-23","cited_by_count":10,"area":"lr"},{"id":"2601.05729","title":"TAGRPO: Boosting GRPO on Image-to-Video Generation with Direct Trajectory Alignment","created":"2026-01-09","cited_by_count":10,"area":"lr"},{"id":"2603.14526","title":"LatSearch: Latent Reward-Guided Search for Faster Inference-Time Scaling in Video Diffusion","created":"2026-03-15","cited_by_count":10,"area":"lr"},{"id":"2506.14827","title":"DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning","created":"2025-06-13","cited_by_count":9,"area":"lr"},{"id":"2512.07469","title":"VideoCoF: Unified Video Editing with Temporal Reasoner","created":"2025-12-08","cited_by_count":8,"area":"lr"},{"id":"2602.02465","title":"MentisOculi: Revealing the Limits of Reasoning with Mental Imagery","created":"2026-02-02","cited_by_count":7,"area":"lr"},{"id":"2608.26105","title":"VBVR-Pro: A Scalable and Verifiable Suite for Native Visual Reasoning","created":"2026-08-26","cited_by_count":6,"area":"lr"},{"id":"2512.12756","title":"FysicsWorld: A Unified Full-Modality Benchmark for Any-to-Any Understanding, Generation, and Reasoning","created":"2025-12-14","cited_by_count":5,"area":"lr"},{"id":"2606.02564","title":"VLMs are Good Teachers for Video Reasoning via Adaptive Test-Time Optimization","created":"2026-06-01","cited_by_count":5,"area":"lr"},{"id":"2511.19435","title":"Are Image-to-Video Models Good Zero-Shot Image Editors?","created":"2025-11-24","cited_by_count":4,"area":"lr"},{"id":"2603.27866","title":"Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning","created":"2026-03-29","cited_by_count":4,"area":"lr"},{"id":"2605.15980","title":"Flash-GRPO: Efficient Alignment for Video Diffusion via One-Step Policy Optimization","created":"2026-05-15","cited_by_count":4,"area":"lr"},{"id":"2606.14317","title":"CausalMotion: Structured Physical Reasoning as Keyframe and Trajectory Guidance for Training-Free Video Generation","created":"2026-06-12","cited_by_count":4,"area":"lr"},{"id":"2603.12648","title":"From Sparse to Dense: Multi-View GRPO for Flow Models via Augmented Condition Space","created":"2026-03-13","cited_by_count":3,"area":"lr"},{"id":"2607.08763","title":"OpenCoF: Learning to Reason Through Video Generation","created":"2026-07-09","cited_by_count":3,"area":"lr"},{"id":"2506.22832","title":"Listener-Rewarded Thinking in VLMs for Image Preferences","created":"2025-06-28","cited_by_count":2,"area":"lr"},{"id":"2603.06014","title":"EffectMaker: Unifying Reasoning and Generation for Customized Visual Effect Creation","created":"2026-03-06","cited_by_count":2,"area":"lr"},{"id":"2604.19193","title":"How Far Are Video Models from True Multimodal Reasoning?","created":"2026-04-21","cited_by_count":2,"area":"lr"},{"id":"2605.05922","title":"Think, then Score: Decoupled Reasoning and Scoring for Video Reward Modeling","created":"2026-05-07","cited_by_count":2,"area":"lr"},{"id":"2606.06828","title":"AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO","created":"2026-06-05","cited_by_count":2,"area":"lr"},{"id":"2607.03069","title":"SafeGuard: A Multi-Agent Perception-Reasoning Framework for Social-Risk AI-Generated Video Detection","created":"2026-07-03","cited_by_count":2,"area":"lr"},{"id":"2605.19382","title":"PRISM: A Benchmark for Programmatic Spatial-Temporal Reasoning","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"id":"2604.11283","title":"Multimodal Large Language Model-Enabled Video Translation: A Role-Oriented Survey","created":"2026-04-13","cited_by_count":0,"area":"lr"},{"id":"2605.19995","title":"CogOmniControl: Reasoning-Driven Controllable Video Generation via Creative Intent Cognition","created":"2026-05-19","cited_by_count":0,"area":"lr"},{"id":"2607.23472","title":"VIPER: Visual In-Context Physics Reasoning for Physically Plausible Video Generation","created":"2026-07-26","cited_by_count":0,"area":"lr"},{"id":"2608.05600","title":"LC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction","created":"2026-08-06","cited_by_count":0,"area":"lr"},{"id":"2608.06865","title":"Multi-Agent Forensic Reasoning for Generalizable Deepfake Video Detection","created":"2026-08-07","cited_by_count":0,"area":"lr"},{"id":"2608.29322","title":"Test-Time Scaling for Video Diffusion Models via Diagnosis-Guided Candidate Recycling","created":"2026-08-29","cited_by_count":0,"area":"lr"},{"id":"2609.24997","title":"VideoGen-Agent: Reinforcing Video Generation Agents","created":"2026-09-21","cited_by_count":0,"area":"lr"},{"id":"2609.33585","title":"IVT-Guard: All-in-One Reasoning Model for AI-Generated Content Detection","created":"2026-09-27","cited_by_count":0,"area":"lr"},{"id":"2609.38377","title":"PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos","created":"2026-09-29","cited_by_count":0,"area":"lr"},{"id":"2610.01973","title":"Token-Level Video Reinforcement Learning","created":"2026-10-01","cited_by_count":0,"area":"lr"},{"id":"2610.12572","title":"DiffusionART: Efficient, Stable and Scalable Reinforcement of Diffusion Models","created":"2026-10-08","cited_by_count":0,"area":"lr"}],"next_cursor":null}