Principled RL for Flow Matching Emerges from the Chunk-level Policy Optimization
On the map: LLM reasoning → Reinforcement learning for reasoning
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Abstract (arXiv)
Recent Progress in post-training flow matching for text-to-image (T2I) generation with Group Relative Policy Optimization (GRPO) has demonstrated strong potential. However, it is hindered by a critical limitation: inaccurate advantage attribution. In this work, we argue that aggregating consecutive steps into a coherent 'chunk' and shifting the policy optimization paradigm from GRPO's step level to the chunk level can effectively mitigate the negative impact of this issue. Building on this insight, we propose Group Chunking Policy Optimization (GCPO), the first chunk-level reinforcement learning approach for post-training flow matching. Extensive experiments demonstrate that GCPO achieves superior performance on both standard T2I benchmarks and preference alignment, with up to 43% relative gains over GRPO, highlighting the promise of chunk-level policy optimization. The code is available on https://github.com/xingzhejun/GCPO.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). Placed in Reinforcement learning for reasoning, one of 17 directions in LLM reasoning. Builds on 42 of its 52 references that are in the map. First posted on arXiv 24 Oct 2025.
Builds on
42 of 52 references.
Closest ancestors · 7
Same direction, newest first
- 2025Reinforcement Learning Meets Masked Generative Models: Mask-GRPO for Text-to-Image Generation15 Oct
- 2025Pref-GRPO: Pairwise Preference Reward-based GRPO for Stable Text-to-Image Reinforcement Learning28 Aug
- 2025TempFlow-GRPO: When Timing Matters for GRPO in Flow Models6 Aug
- 2025DanceGRPO: Unleashing GRPO on Visual Generation12 May
- 2025Flow-GRPO: Training Flow Matching Models via Online RL8 May
- 2025The Lessons of Developing Process Reward Models in Mathematical Reasoning13 Jan
- 2017Proximal Policy Optimization Algorithms20 Jul
Other references · 35
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- 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,356
- 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
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- 2023Diffusion Policy: Visuomotor Policy Learning via Action Diffusioncited by 2,838
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- 2023Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardwarecited by 1,568
23 more
- 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generationcited by 1,045
- 2025Qwen-Image Technical Reportcited by 1,044
- 2025FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Spacecited by 1,006
- 2023Training Diffusion Models with Reinforcement Learningcited by 982
- 2023Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generationcited by 977
- 2023GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignmentcited by 972
- 2023Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesiscited by 890
- 2025Group Sequence Policy Optimizationcited by 835
- 2023Diffusion Model Alignment Using Direct Preference Optimizationcited by 790
- 2025SmolVLA: A Vision-Language-Action Model for Affordable and Efficient Roboticscited by 530
- 2024ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignmentcited by 475
- 2023DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Modelscited by 450
- 2024Timestep Embedding Tells: It's Time to Cache for Video Diffusion Modelcited by 269
- 2025HPSv3: Towards Wide-Spectrum Human Preference Scorecited by 211
- 2025MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDEcited by 178
- 2023Cache Me if You Can: Accelerating Diffusion Models through Block Cachingcited by 151
- 2025Reinforcement Learning with Action Chunkingcited by 107
- 2024Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimizationcited by 84
- 2025BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Modelscited by 61
- 2025Coefficients-Preserving Sampling for Reinforcement Learning with Flow Matchingcited by 56
- 2024Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence Minimizationcited by 15
- 2025Lifelong Safety Alignment for Language Modelscited by 15
- 2025Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Modelscited by 14
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Citing papers per year: 2025: 3; 2026: 11.
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- 2026E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Modelscited by 14
- 2025VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstructioncited by 10
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPOcited by 7
- 2026HP-Edit: A Human-Preference Post-Training Framework for Image Editingcited by 6
- 2026Diffusion Reinforcement Learning via Centered Reward Distillationcited by 5
- 2025SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Modelscited by 4
- 2026Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shapingcited by 3
- 2026Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamicscited by 2
- 2026Advances in GRPO for Generation Models: A Surveycited by 2
- 2025RePack then Refine: Efficient Diffusion Transformer with Vision Foundation Modelcited by 1
- 2026Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Trainingcited by 0
- 2026LeanGRPO: Eliminating Redundant Recomputation in Diffusion RLcited by 0
- 2026FlowCred: Hierarchical Credit Assignment and Functional Coordination for Joint Text-to-Video Post-Training13 Oct 2026
- 2026Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimization1 Oct 2026
- 2026LeanGRPO: Eliminating Redundant Recomputation in Diffusion RL3 Sep 2026
- 2026Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training19 Jun 2026
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO14 May 2026
- 2026Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping11 May 2026
- 2026HP-Edit: A Human-Preference Post-Training Framework for Image Editing21 Apr 2026
- 2026Diffusion Reinforcement Learning via Centered Reward Distillation14 Mar 2026
- 2026Advances in GRPO for Generation Models: A Survey21 Feb 2026
- 2026Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics4 Feb 2026
- 2026E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models1 Jan 2026
- 2025SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models17 Dec 2025
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPOcited by 7
- 2026HP-Edit: A Human-Preference Post-Training Framework for Image Editingcited by 6
- 2026Diffusion Reinforcement Learning via Centered Reward Distillationcited by 5
- 2026Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamicscited by 2
- 2025RePack then Refine: Efficient Diffusion Transformer with Vision Foundation Modelcited by 1
- 2026Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimizationcited by 0
- 2026Flow Matching Reinforcement for 3D Mesh Generation via Dynamic Homing Optimization1 Oct 2026
- 2026RAVEN: Real-time Autoregressive Video Extrapolation with Consistency-model GRPO14 May 2026
- 2026HP-Edit: A Human-Preference Post-Training Framework for Image Editing21 Apr 2026
- 2026Diffusion Reinforcement Learning via Centered Reward Distillation14 Mar 2026
- 2026Euphonium: Steering Video Flow Matching via Process Reward Gradient Guided Stochastic Dynamics4 Feb 2026
- 2025RePack then Refine: Efficient Diffusion Transformer with Vision Foundation Model12 Dec 2025
- 2026E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Modelscited by 14
- 2026Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shapingcited by 3
- 2026Advances in GRPO for Generation Models: A Surveycited by 2
- 2026Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Trainingcited by 0
- 2026Balancing Performance and Diversity in GRPO Autoregressive Text-to-Image Post-Training19 Jun 2026
- 2026Power Reinforcement Post-Training of Text-to-Image Models with Super-Linear Advantage Shaping11 May 2026
- 2026Advances in GRPO for Generation Models: A Survey21 Feb 2026
- 2026E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models1 Jan 2026
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- 2026Faster and Better Alignment for Flow Matching Models via Step-aware Advantages
- 2025GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
- 2025Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models
- 2026OP-GRPO: Efficient Off-Policy GRPO for Flow-Matching Models
- 2026From Sparse to Dense: Multi-View GRPO for Flow Models via Augmented Condition Space
- 2025Anchoring Values in Temporal and Group Dimensions for Flow Matching Model Alignment
- 2025SuperFlow: Training Flow Matching Models with RL on the Fly
- 2026Unified Trajectory Matching Policy Optimization: Diverse T2I Generation and VLA Generalization