{"total":42,"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":"2508.20751","title":"Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning","created":"2025-08-28","cited_by_count":92,"area":"lr"},{"id":"2505.03318","title":"Unified Multimodal Chain-of-Thought Reward Model through Reinforcement Fine-Tuning","created":"2025-05-06","cited_by_count":90,"area":"lr"},{"id":"2510.22319","title":"GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping","created":"2025-10-25","cited_by_count":49,"area":"lr"},{"id":"2509.22647","title":"CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning","created":"2025-09-26","cited_by_count":38,"area":"lr"},{"id":"2505.17017","title":"Delving into RL for Image Generation with CoT: A Study on DPO vs. GRPO","created":"2025-05-22","cited_by_count":31,"area":"lr"},{"id":"2508.21048","title":"Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning","created":"2025-08-28","cited_by_count":23,"area":"lr"},{"id":"2504.10358","title":"FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos","created":"2025-04-14","cited_by_count":22,"area":"lr"},{"id":"2508.06924","title":"AR-GRPO: Training Autoregressive Image Generation Models via Reinforcement Learning","created":"2025-08-09","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":"2601.20218","title":"DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment","created":"2026-01-28","cited_by_count":21,"area":"lr"},{"id":"2512.21514","title":"DiverseGRPO: Mitigating Mode Collapse in Image Generation via Diversity-Aware GRPO","created":"2025-12-25","cited_by_count":17,"area":"lr"},{"id":"2505.17534","title":"Co-Reinforcement Learning for Unified Multimodal Understanding and Generation","created":"2025-05-23","cited_by_count":15,"area":"lr"},{"id":"2510.08425","title":"Reinforcing Diffusion Models by Direct Group Preference Optimization","created":"2025-10-09","cited_by_count":14,"area":"lr"},{"id":"2505.20640","title":"IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios","created":"2025-05-27","cited_by_count":13,"area":"lr"},{"id":"2512.05111","title":"ARM-Thinker: Reinforcing Multimodal Generative Reward Models with Agentic Tool Use and Visual Reasoning","created":"2025-12-04","cited_by_count":13,"area":"lr"},{"id":"2510.02880","title":"Consolidating Reinforcement Learning for Multimodal Discrete Diffusion Models","created":"2025-10-03","cited_by_count":12,"area":"lr"},{"id":"2510.10518","title":"VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning","created":"2025-10-12","cited_by_count":12,"area":"lr"},{"id":"2508.03556","title":"VRPRM: Process Reward Modeling via Visual Reasoning","created":"2025-08-05","cited_by_count":11,"area":"lr"},{"id":"2602.06422","title":"Alleviating Sparse Rewards by Modeling Step-Wise and Long-Term Sampling Effects in Flow-Based GRPO","created":"2026-02-06","cited_by_count":9,"area":"lr"},{"id":"2510.01010","title":"ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning","created":"2025-10-01","cited_by_count":7,"area":"lr"},{"id":"2602.14147","title":"LaViDa-R1: Advancing Reasoning for Unified Multimodal Diffusion Language Models","created":"2026-02-15","cited_by_count":7,"area":"lr"},{"id":"2604.23380","title":"V-GRPO: Online Reinforcement Learning for Denoising Generative Models Is Easier than You Think","created":"2026-04-25","cited_by_count":7,"area":"lr"},{"id":"2512.12218","title":"Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking","created":"2025-12-13","cited_by_count":6,"area":"lr"},{"id":"2512.12387","title":"Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment","created":"2025-12-13","cited_by_count":6,"area":"lr"},{"id":"2603.08652","title":"CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation","created":"2026-03-09","cited_by_count":6,"area":"lr"},{"id":"2603.06652","title":"PaLMR: Towards Faithful Visual Reasoning via Multimodal Process Alignment","created":"2026-02-28","cited_by_count":5,"area":"lr"},{"id":"2608.31075","title":"Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence","created":"2026-08-31","cited_by_count":5,"area":"lr"},{"id":"2603.15724","title":"Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models","created":"2026-03-16","cited_by_count":4,"area":"lr"},{"id":"2605.12495","title":"AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward","created":"2026-05-12","cited_by_count":4,"area":"lr"},{"id":"2505.17897","title":"T2I-Eval-R1: Reinforcement Learning-Driven Reasoning for Interpretable Text-to-Image Evaluation","created":"2025-05-23","cited_by_count":3,"area":"lr"},{"id":"2512.23169","title":"REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation","created":"2025-12-29","cited_by_count":3,"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":"2607.00535","title":"Flow-Map GRPO: Reinforcement Learning for Few-Step Flow-Map Generators via Anchored Stochastic Composition","created":"2026-07-01","cited_by_count":3,"area":"lr"},{"id":"2604.22868","title":"Probing Visual Planning in Image Editing Models","created":"2026-04-23","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":"2511.22242","title":"Rethinking Test Time Scaling for Flow-Matching Generative Models","created":"2025-11-27","cited_by_count":1,"area":"lr"},{"id":"2512.03534","title":"Rethinking Prompt Design for Inference-time Scaling in Text-to-Visual Generation","created":"2025-12-03","cited_by_count":1,"area":"lr"},{"id":"2602.21435","title":"Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking","created":"2026-02-24","cited_by_count":0,"area":"lr"},{"id":"2607.12800","title":"UniVR: Thinking in Visual Space for Unified Visual Reasoning","created":"2026-07-14","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"}],"next_cursor":null}