{"total":93,"rows":[{"id":"2508.03789","title":"HPSv3: Towards Wide-Spectrum Human Preference Score","created":"2025-08-05","cited_by_count":211,"area":"alignment"},{"id":"2503.05236","title":"Unified Reward Model for Multimodal Understanding and Generation","created":"2025-03-07","cited_by_count":199,"area":"alignment"},{"id":"2412.21059","title":"VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation","created":"2024-12-30","cited_by_count":156,"area":"alignment"},{"id":"2406.04312","title":"ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization","created":"2024-06-06","cited_by_count":119,"area":"alignment"},{"id":"2509.23909","title":"EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling","created":"2025-09-28","cited_by_count":64,"area":"alignment"},{"id":"2406.08469","title":"PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences","created":"2024-06-12","cited_by_count":54,"area":"alignment"},{"id":"2412.04814","title":"LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment","created":"2024-12-06","cited_by_count":53,"area":"alignment"},{"id":"2308.12014","title":"From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models","created":"2023-08-23","cited_by_count":45,"area":"alignment"},{"id":"2412.15838","title":"Align Anything: Training All-Modality Models to Follow Instructions with Language Feedback","created":"2024-12-20","cited_by_count":39,"area":"alignment"},{"id":"2410.18013","title":"Scalable Ranked Preference Optimization for Text-to-Image Generation","created":"2024-10-23","cited_by_count":33,"area":"alignment"},{"id":"2502.04370","title":"DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization","created":"2025-02-05","cited_by_count":27,"area":"alignment"},{"id":"2506.02095","title":"Cycle Consistency as Reward: Learning Image-Text Alignment without Human Preferences","created":"2025-06-02","cited_by_count":22,"area":"alignment"},{"id":"2512.16899","title":"Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image","created":"2025-12-18","cited_by_count":20,"area":"alignment"},{"id":"2509.23082","title":"Follow-Your-Preference: Towards Preference-Aligned Image Inpainting","created":"2025-09-27","cited_by_count":18,"area":"alignment"},{"id":"2405.20216","title":"Boost Your Human Image Generation Model via Direct Preference Optimization","created":"2024-05-30","cited_by_count":16,"area":"alignment"},{"id":"2511.16955","title":"Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models","created":"2025-11-21","cited_by_count":16,"area":"alignment"},{"id":"2409.09774","title":"Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through $f$-divergence Minimization","created":"2024-09-15","cited_by_count":15,"area":"alignment"},{"id":"2412.05095","title":"SoPo: Text-to-Motion Generation Using Semi-Online Preference Optimization","created":"2024-12-06","cited_by_count":15,"area":"alignment"},{"id":"2507.19002","title":"Enhancing Reward Models for High-quality Image Generation: Beyond Text-Image Alignment","created":"2025-07-25","cited_by_count":14,"area":"alignment"},{"id":"2602.02380","title":"Unified Personalized Reward Model for Vision Generation","created":"2026-02-02","cited_by_count":13,"area":"alignment"},{"id":"2510.23451","title":"Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences","created":"2025-10-27","cited_by_count":11,"area":"alignment"},{"id":"2410.20898","title":"David and Goliath: Small One-step Model Beats Large Diffusion with Score Post-training","created":"2024-10-28","cited_by_count":9,"area":"alignment"},{"id":"2412.19637","title":"ReNeg: Learning Negative Embedding with Reward Guidance","created":"2024-12-27","cited_by_count":9,"area":"alignment"},{"id":"2501.06481","title":"Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation","created":"2025-01-11","cited_by_count":9,"area":"alignment"},{"id":"2504.10044","title":"Aligning Anime Video Generation with Human Feedback","created":"2025-04-14","cited_by_count":9,"area":"alignment"},{"id":"2601.03468","title":"Understanding Reward Hacking in Text-to-Image Reinforcement Learning","created":"2026-01-06","cited_by_count":9,"area":"alignment"},{"id":"2605.08354","title":"Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria","created":"2026-05-08","cited_by_count":9,"area":"alignment"},{"id":"2402.09872","title":"Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community","created":"2024-02-15","cited_by_count":8,"area":"alignment"},{"id":"2503.01894","title":"LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces","created":"2025-02-27","cited_by_count":8,"area":"alignment"},{"id":"2511.20651","title":"RubricRL: Simple Generalizable Rewards for Text-to-Image Generation","created":"2025-11-25","cited_by_count":7,"area":"alignment"},{"id":"2512.04784","title":"PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling","created":"2025-12-02","cited_by_count":7,"area":"alignment"},{"id":"2512.19680","title":"VA-$\\pi$: Variational Policy Alignment for Pixel-Aware Autoregressive Generation","created":"2025-12-22","cited_by_count":7,"area":"alignment"},{"id":"2603.22228","title":"SpatialReward: Verifiable Spatial Reward Modeling for Fine-Grained Spatial Consistency in Text-to-Image Generation","created":"2026-03-23","cited_by_count":6,"area":"alignment"},{"id":"2604.27147","title":"How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance","created":"2026-04-29","cited_by_count":6,"area":"alignment"},{"id":"2505.17910","title":"DiffusionReward: Enhancing Blind Face Restoration through Reward Feedback Learning","created":"2025-05-23","cited_by_count":5,"area":"alignment"},{"id":"2605.06583","title":"Improved techniques for fine-tuning flow models via adjoint matching: a deterministic control pipeline","created":"2026-05-07","cited_by_count":5,"area":"alignment"},{"id":"2605.15803","title":"Embedding-perturbed Exploration Preference Optimization for Flow Models","created":"2026-05-15","cited_by_count":5,"area":"alignment"},{"id":"2505.23950","title":"InterMT: Multi-Turn Interleaved Preference Alignment with Human Feedback","created":"2025-05-29","cited_by_count":4,"area":"alignment"},{"id":"2509.21953","title":"MultiCrafter: High-Fidelity Multi-Subject Generation via Disentangled Attention and Identity-Aware Preference Alignment","created":"2025-09-26","cited_by_count":4,"area":"alignment"},{"id":"2604.24952","title":"Learning from Noisy Preferences: A Semi-Supervised Learning Approach to Direct Preference Optimization","created":"2026-04-27","cited_by_count":4,"area":"alignment"},{"id":"2606.09076","title":"Z-Reward: Beyond Scalar Rewards by Internalizing Reasoning into Score Distributions","created":"2026-06-08","cited_by_count":4,"area":"alignment"},{"id":"2606.17006","title":"TuneJury: An Open Metric for Improving Music Generation Preference Alignment","created":"2026-06-15","cited_by_count":4,"area":"alignment"},{"id":"2512.22647","title":"FinPercep-RM: A Fine-grained Reward Model and Co-evolutionary Curriculum for RL-based Real-world Super-Resolution","created":"2025-12-27","cited_by_count":3,"area":"alignment"},{"id":"2602.24233","title":"Enhancing Spatial Understanding in Image Generation via Reward Modeling","created":"2026-02-27","cited_by_count":3,"area":"alignment"},{"id":"2605.17602","title":"AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment","created":"2026-05-17","cited_by_count":3,"area":"alignment"},{"id":"2606.02521","title":"Drifting Preference Optimization for One-Step Generative Models","created":"2026-06-01","cited_by_count":3,"area":"alignment"},{"id":"2406.19668","title":"PopAlign: Population-Level Alignment for Fair Text-to-Image Generation","created":"2024-06-28","cited_by_count":2,"area":"alignment"},{"id":"2506.03234","title":"BadReward: Clean-Label Poisoning of Reward Models in Text-to-Image RLHF","created":"2025-06-03","cited_by_count":2,"area":"alignment"},{"id":"2511.01450","title":"Reg-DPO: SFT-Regularized Direct Preference Optimization with GT-Pair for Improving Video Generation","created":"2025-11-03","cited_by_count":2,"area":"alignment"},{"id":"2602.08646","title":"Gradient Preconditioning for Efficient and Reliable Reward-Guided Generation","created":"2026-02-09","cited_by_count":2,"area":"alignment"},{"id":"2603.00918","title":"Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards","created":"2026-03-01","cited_by_count":2,"area":"alignment"},{"id":"2604.24953","title":"ViPO: Visual Preference Optimization at Scale","created":"2026-04-27","cited_by_count":2,"area":"alignment"},{"id":"2605.04653","title":"Threshold-Guided Optimization for Visual Generative Models","created":"2026-05-06","cited_by_count":2,"area":"alignment"},{"id":"2605.19804","title":"Stitched Value Model for Diffusion Alignment","created":"2026-05-19","cited_by_count":2,"area":"alignment"},{"id":"2605.28615","title":"Compositional Text-to-Image Generation Via Region-aware Bimodal Direct Preference Optimization","created":"2026-05-27","cited_by_count":2,"area":"alignment"},{"id":"2502.08977","title":"Text-driven 3D Human Generation via Contrastive Preference Optimization","created":"2025-02-13","cited_by_count":1,"area":"alignment"},{"id":"2504.10329","title":"InstructEngine: Instruction-driven Text-to-Image Alignment","created":"2025-04-14","cited_by_count":1,"area":"alignment"},{"id":"2509.25562","title":"IRIS: Intrinsic Reward Image Synthesis","created":"2025-09-29","cited_by_count":1,"area":"alignment"},{"id":"2510.25897","title":"MIRO: MultI-Reward cOnditioned pretraining improves T2I quality and efficiency","created":"2025-10-29","cited_by_count":1,"area":"alignment"},{"id":"2603.00159","title":"FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation","created":"2026-02-25","cited_by_count":1,"area":"alignment"},{"id":"2603.01163","title":"BeautyGRPO: Aesthetic Alignment for Face Retouching via Dynamic Path Guidance and Fine-Grained Preference Modeling","created":"2026-03-01","cited_by_count":1,"area":"alignment"},{"id":"2603.05659","title":"When Rubrics Fail: Error Enumeration as Reward in Reference-Free RL Post-Training for Virtual Try-On","created":"2026-03-05","cited_by_count":1,"area":"alignment"},{"id":"2603.18528","title":"Correlation-Weighted Multi-Reward Optimization for Compositional Generation","created":"2026-03-19","cited_by_count":1,"area":"alignment"},{"id":"2603.24849","title":"Gaze patterns predict preference and confidence in pairwise AI image evaluation","created":"2026-03-25","cited_by_count":1,"area":"alignment"},{"id":"2604.13305","title":"Bias at the End of the Score","created":"2026-04-14","cited_by_count":1,"area":"alignment"},{"id":"2605.24001","title":"Diff-Instruct with Diffused Reward: Towards Principled One-step Generator RL","created":"2026-05-18","cited_by_count":1,"area":"alignment"},{"id":"2605.25759","title":"Towards Anatomically Plausible Human Image Generation via Synthetic Localized Preferences","created":"2026-05-25","cited_by_count":1,"area":"alignment"},{"id":"2607.02291","title":"Optimizing Visual Generative Models via Distribution-wise Rewards","created":"2026-07-02","cited_by_count":1,"area":"alignment"},{"id":"2607.29025","title":"Evaluation-Verification Reward for Consistent Multi-Reference Image Editing","created":"2026-07-31","cited_by_count":1,"area":"alignment"},{"id":"2609.04283","title":"Joint Alignment and Distillation for Video Generation via Sample-Guided Distribution Matching","created":"2026-09-03","cited_by_count":1,"area":"alignment"},{"id":"2609.05968","title":"Test-Time Weak-to-Strong Alignment: Transferring Implicit Rewards from Weak to Strong Flow Models","created":"2026-09-05","cited_by_count":1,"area":"alignment"},{"id":"2506.13846","title":"Fake it till You Make it: Reward Modeling as Discriminative Prediction","created":"2025-06-16","cited_by_count":0,"area":"alignment"},{"id":"2506.18331","title":"End-to-End Fine-Tuning of 3D Texture Generation using Differentiable Rewards","created":"2025-06-23","cited_by_count":0,"area":"alignment"},{"id":"2512.15644","title":"InpaintDPO: Mitigating Spatial Relationship Hallucinations in Foreground-conditioned Inpainting via Diverse Preference Optimization","created":"2025-12-16","cited_by_count":0,"area":"alignment"},{"id":"2602.13055","title":"Curriculum-DPO++: Direct Preference Optimization via Data and Model Curricula for Text-to-Image Generation","created":"2026-02-13","cited_by_count":0,"area":"alignment"},{"id":"2602.23438","title":"DesignSense: A Human Preference Dataset and Reward Modeling Framework for Graphic Layout Generation","created":"2026-02-26","cited_by_count":0,"area":"alignment"},{"id":"2603.14504","title":"Trust-Region Noise Search for Black-Box Alignment of Diffusion and Flow Models","created":"2026-03-15","cited_by_count":0,"area":"alignment"},{"id":"2603.24198","title":"RefReward-SR: LR-Conditioned Reward Modeling for Preference-Aligned Super-Resolution","created":"2026-03-25","cited_by_count":0,"area":"alignment"},{"id":"2605.13155","title":"Pareto-Guided Optimal Transport for Multi-Reward Alignment","created":"2026-05-13","cited_by_count":0,"area":"alignment"},{"id":"2605.25876","title":"DyCoRM: Dynamic Criterion-Aware Reward Modeling for Text-to-Image Generation","created":"2026-05-25","cited_by_count":0,"area":"alignment"},{"id":"2606.03216","title":"Follow-Your-Preference++: Rethinking Preference Alignment for Image Inpainting","created":"2026-06-02","cited_by_count":0,"area":"alignment"},{"id":"2607.03770","title":"Self-Improving Diffusion Classifiers with Minority Preference Optimization","created":"2026-07-04","cited_by_count":0,"area":"alignment"},{"id":"2607.07693","title":"Selective Timestep Weighting and Advantage-Based Replay for Sample-Efficient Diffusion RLHF","created":"2026-07-08","cited_by_count":0,"area":"alignment"},{"id":"2607.11886","title":"Read It Back: Pretrained MLLMs Are Zero-Shot Reward Models for Text-to-Image Generation","created":"2026-07-13","cited_by_count":0,"area":"alignment"},{"id":"2609.03806","title":"SVG-Score: Human-Aligned Evaluation of Text-to-SVG Generation","created":"2026-09-03","cited_by_count":0,"area":"alignment"},{"id":"2609.30840","title":"Aligning One-Step Generative Models with Reward-Weighted Transport Distillation","created":"2026-09-25","cited_by_count":0,"area":"alignment"},{"id":"2609.34673","title":"FestDPO: Few-step Generator Alignment with Direct Preference Optimization","created":"2026-09-28","cited_by_count":0,"area":"alignment"},{"id":"2610.00365","title":"Manifold-Constrained Initial Noise Optimization for Efficient Generative Model Alignment","created":"2026-09-30","cited_by_count":0,"area":"alignment"},{"id":"2610.02967","title":"Post-Training Frontier Text-to-Image Models by Composing Preference and Rubric Rewards","created":"2026-10-02","cited_by_count":0,"area":"alignment"},{"id":"2610.03423","title":"OuroReward: Sequential Reward Scheduling for Reinforcement Learning in Text-to-3D Generation","created":"2026-10-02","cited_by_count":0,"area":"alignment"},{"id":"2610.03617","title":"DEPICT: Scoring Text-to-Image Alignment by Answer Agreement","created":"2026-10-02","cited_by_count":0,"area":"alignment"},{"id":"2610.12469","title":"Rubric-CEPR: Self-Evolving Image Editing via Reward-Verified Self-Distillation","created":"2026-10-08","cited_by_count":0,"area":"alignment"},{"id":"2610.17234","title":"IsoVRBench: Video Reward Modeling Without Human Feedback","created":"2026-10-12","cited_by_count":0,"area":"alignment"}],"next_cursor":null}