{"total":32,"rows":[{"id":"2305.13301","title":"Training Diffusion Models with Reinforcement Learning","created":"2023-05-22","cited_by_count":982,"area":"diffusion"},{"id":"2309.17400","title":"Directly Fine-Tuning Diffusion Models on Differentiable Rewards","created":"2023-09-29","cited_by_count":448,"area":"diffusion"},{"id":"2503.09573","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","created":"2025-03-12","cited_by_count":409,"area":"diffusion"},{"id":"2402.15194","title":"Fine-Tuning of Continuous-Time Diffusion Models as Entropy-Regularized Control","created":"2024-02-23","cited_by_count":143,"area":"diffusion"},{"id":"2407.13734","title":"Understanding Reinforcement Learning-Based Fine-Tuning of Diffusion Models: A Tutorial and Review","created":"2024-07-18","cited_by_count":98,"area":"diffusion"},{"id":"2402.08265","title":"A Dense Reward View on Aligning Text-to-Image Diffusion with Preference","created":"2024-02-13","cited_by_count":55,"area":"diffusion"},{"id":"2402.08714","title":"PRDP: Proximal Reward Difference Prediction for Large-Scale Reward Finetuning of Diffusion Models","created":"2024-02-13","cited_by_count":42,"area":"diffusion"},{"id":"2412.15159","title":"OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization","created":"2024-12-19","cited_by_count":41,"area":"diffusion"},{"id":"2501.19252","title":"Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search","created":"2025-01-31","cited_by_count":41,"area":"diffusion"},{"id":"2405.13637","title":"Curriculum Direct Preference Optimization for Diffusion and Consistency Models","created":"2024-05-22","cited_by_count":36,"area":"diffusion"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2312.13980","title":"Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning","created":"2023-12-21","cited_by_count":22,"area":"diffusion"},{"id":"2503.18454","title":"InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment","created":"2025-03-24","cited_by_count":19,"area":"diffusion"},{"id":"2311.06752","title":"BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis","created":"2023-11-12","cited_by_count":18,"area":"diffusion"},{"id":"2306.12438","title":"Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback","created":"2023-06-16","cited_by_count":15,"area":"diffusion"},{"id":"2409.19149","title":"Multimodal Pragmatic Jailbreak on Text-to-image Models","created":"2024-09-27","cited_by_count":13,"area":"diffusion"},{"id":"2601.04153","title":"Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning","created":"2026-01-07","cited_by_count":10,"area":"diffusion"},{"id":"2509.23286","title":"A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models","created":"2025-09-27","cited_by_count":9,"area":"diffusion"},{"id":"2512.24143","title":"Activation Steering for Masked Diffusion Language Models","created":"2025-12-30","cited_by_count":9,"area":"diffusion"},{"id":"2306.11731","title":"Learning Profitable NFT Image Diffusions via Multiple Visual-Policy Guided Reinforcement Learning","created":"2023-06-20","cited_by_count":7,"area":"diffusion"},{"id":"2407.13981","title":"Decomposed Direct Preference Optimization for Structure-Based Drug Design","created":"2024-07-19","cited_by_count":7,"area":"diffusion"},{"id":"2405.03803","title":"MoDiPO: text-to-motion alignment via AI-feedback-driven Direct Preference Optimization","created":"2024-05-06","cited_by_count":6,"area":"diffusion"},{"id":"2403.04997","title":"DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation","created":"2024-03-08","cited_by_count":4,"area":"diffusion"},{"id":"2504.14534","title":"SUDO: Enhancing Text-to-Image Diffusion Models with Self-Supervised Direct Preference Optimization","created":"2025-04-20","cited_by_count":3,"area":"diffusion"},{"id":"2602.16548","title":"RIDER: 3D RNA Inverse Design with Reinforcement Learning-Guided Diffusion","created":"2026-02-18","cited_by_count":3,"area":"diffusion"},{"id":"2605.07503","title":"Diffusion-APO: Trajectory-Aware Direct Preference Alignment for Video Diffusion Transformers","created":"2026-05-08","cited_by_count":3,"area":"diffusion"},{"id":"2504.12833","title":"SPIE: Semantic and Structural Post-Training of Image Editing Diffusion Models with AI feedback","created":"2025-04-17","cited_by_count":2,"area":"diffusion"},{"id":"2605.29626","title":"DLM-SWAI: Steering Diffusion Language Models Before They Unmask","created":"2026-05-28","cited_by_count":2,"area":"diffusion"},{"id":"2511.23436","title":"Towards Continuous Intelligence Growth: Self-Training, Continual Learning, and Dual-Scale Memory in SuperIntelliAgent","created":"2025-11-28","cited_by_count":1,"area":"diffusion"},{"id":"2407.09551","title":"Diminishing Stereotype Bias in Image Generation Model using Reinforcemenlent Learning Feedback","created":"2024-06-27","cited_by_count":0,"area":"diffusion"},{"id":"2509.06499","title":"TIDE: Achieving Balanced Subject-Driven Image Generation via Target-Instructed Diffusion Enhancement","created":"2025-09-08","cited_by_count":0,"area":"diffusion"},{"id":"2607.18516","title":"Signed Rectified Flow: Negativity-Controlled Generation","created":"2026-07-20","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}