{"total":37,"rows":[{"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":"2501.05803","title":"Test-time Alignment of Diffusion Models without Reward Over-optimization","created":"2025-01-10","cited_by_count":93,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2412.03293","title":"Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning","created":"2024-12-04","cited_by_count":57,"area":"diffusion"},{"id":"2405.18881","title":"Inference-Time Alignment of Diffusion Models with Direct Noise Optimization","created":"2024-05-29","cited_by_count":55,"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":"2407.01648","title":"Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization","created":"2024-07-01","cited_by_count":25,"area":"diffusion"},{"id":"2502.14944","title":"Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design","created":"2025-02-20","cited_by_count":25,"area":"diffusion"},{"id":"2412.18164","title":"Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergence","created":"2024-12-24","cited_by_count":19,"area":"diffusion"},{"id":"2511.22640","title":"Flow Density Control: Generative Optimization Beyond Entropy-Regularized Fine-Tuning","created":"2025-11-27","cited_by_count":17,"area":"diffusion"},{"id":"2406.12120","title":"Adding Conditional Control to Diffusion Models with Reinforcement Learning","created":"2024-06-17","cited_by_count":16,"area":"diffusion"},{"id":"2506.15385","title":"Provable Maximum Entropy Manifold Exploration via Diffusion Models","created":"2025-06-18","cited_by_count":14,"area":"diffusion"},{"id":"2411.11727","title":"Aligning Few-Step Diffusion Models with Dense Reward Difference Learning","created":"2024-11-18","cited_by_count":12,"area":"diffusion"},{"id":"2508.19104","title":"Composition and Alignment of Diffusion Models using Constrained Learning","created":"2025-08-26","cited_by_count":10,"area":"diffusion"},{"id":"2502.12146","title":"Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening","created":"2025-02-17","cited_by_count":7,"area":"diffusion"},{"id":"2602.15984","title":"Verifier-Constrained Flow Expansion for Discovery Beyond the Data","created":"2026-02-17","cited_by_count":7,"area":"diffusion"},{"id":"2507.11554","title":"Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models","created":"2025-07-14","cited_by_count":6,"area":"diffusion"},{"id":"2512.04559","title":"Diffusion Fine-Tuning via Reparameterized Policy Gradient of the Soft Q-Function","created":"2025-12-04","cited_by_count":5,"area":"diffusion"},{"id":"2407.00626","title":"Maximum Entropy Inverse Reinforcement Learning of Diffusion Models with Energy-Based Models","created":"2024-06-30","cited_by_count":4,"area":"diffusion"},{"id":"2410.05116","title":"HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning","created":"2024-10-07","cited_by_count":4,"area":"diffusion"},{"id":"2411.14913","title":"Enhancing Exploration with Diffusion Policies in Hybrid Off-Policy RL: Application to Non-Prehensile Manipulation","created":"2024-11-22","cited_by_count":3,"area":"diffusion"},{"id":"2505.15791","title":"VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL","created":"2025-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2505.17352","title":"Alignment and Safety of Diffusion Models via Reinforcement Learning and Reward Modeling: A Survey","created":"2025-05-23","cited_by_count":3,"area":"diffusion"},{"id":"2509.02528","title":"Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models","created":"2025-09-02","cited_by_count":3,"area":"diffusion"},{"id":"2502.12178","title":"Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation","created":"2025-02-14","cited_by_count":2,"area":"diffusion"},{"id":"2502.14070","title":"DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models","created":"2025-02-19","cited_by_count":2,"area":"diffusion"},{"id":"2505.21666","title":"Efficient Controllable Diffusion via Optimal Classifier Guidance","created":"2025-05-27","cited_by_count":2,"area":"diffusion"},{"id":"2509.20570","title":"PIRF: Physics-Informed Reward Fine-Tuning for Diffusion Models","created":"2025-09-24","cited_by_count":2,"area":"diffusion"},{"id":"2602.08012","title":"A Unified Density Operator View of Flow Control and Merging","created":"2026-02-08","cited_by_count":2,"area":"diffusion"},{"id":"2404.04356","title":"Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback","created":"2024-04-05","cited_by_count":1,"area":"diffusion"},{"id":"2601.04300","title":"Beyond Binary Preference: Aligning Diffusion Models to Fine-grained Criteria by Decoupling Attributes","created":"2026-01-07","cited_by_count":1,"area":"diffusion"},{"id":"2609.37875","title":"Co-PiLOT: Constrained Physics-Informed Latent Optimization for Target-Driven Inverse Design","created":"2026-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2512.12339","title":"Unified Control for Inference-Time Guidance of Denoising Diffusion Models","created":"2025-12-13","cited_by_count":0,"area":"diffusion"},{"id":"2602.02831","title":"Adaptive Linear Path Model-Based Diffusion","created":"2026-02-02","cited_by_count":0,"area":"diffusion"},{"id":"2607.00486","title":"PAPA: Online Personalized Active Preference Alignment","created":"2026-07-01","cited_by_count":0,"area":"diffusion"},{"id":"2607.02834","title":"On the Design Space of Discrete Diffusion Online Adaptation for Molecular Optimization","created":"2026-07-03","cited_by_count":0,"area":"diffusion"},{"id":"2609.06761","title":"LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery","created":"2026-09-06","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}