{"total":109,"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":"2401.04092","title":"GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation","created":"2024-01-08","cited_by_count":153,"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":"2509.08826","title":"RewardDance: Reward Scaling in Visual Generation","created":"2025-09-10","cited_by_count":68,"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":"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":"2401.05675","title":"Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generation","created":"2024-01-11","cited_by_count":36,"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":"2511.23002","title":"JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization","created":"2025-11-28","cited_by_count":31,"area":"alignment"},{"id":"2504.07070","title":"A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models","created":"2025-04-09","cited_by_count":27,"area":"alignment"},{"id":"2409.11564","title":"Preference Tuning with Human Feedback on Language, Speech, and Vision Tasks: A Survey","created":"2024-09-17","cited_by_count":23,"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":"2511.21541","title":"Video Generation Models Are Good Latent Reward Models","created":"2025-11-26","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":"2511.07931","title":"SpeechJudge: Towards Human-Level Judgment for Speech Naturalness","created":"2025-11-11","cited_by_count":15,"area":"alignment"},{"id":"2508.02374","title":"Uni-Layout: Integrating Human Feedback in Unified Layout Generation and Evaluation","created":"2025-08-04","cited_by_count":14,"area":"alignment"},{"id":"2604.11626","title":"RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time","created":"2026-04-13","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":"2511.20256","title":"The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation","created":"2025-11-25","cited_by_count":12,"area":"alignment"},{"id":"2404.01863","title":"Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models","created":"2024-04-02","cited_by_count":9,"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":"2503.01894","title":"LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces","created":"2025-02-27","cited_by_count":8,"area":"alignment"},{"id":"2510.18053","title":"Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models","created":"2025-10-20","cited_by_count":6,"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":"2501.18873","title":"Best Policy Learning from Trajectory Preference Feedback","created":"2025-01-31","cited_by_count":5,"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":"2603.00610","title":"CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction","created":"2026-02-28","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":"2605.19320","title":"TextAlign: Preference Alignment for Text Rendering with Hierarchical Rewards","created":"2026-05-19","cited_by_count":5,"area":"alignment"},{"id":"2608.18607","title":"VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation","created":"2026-08-19","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":"2508.18569","title":"The Mind's Eye: A Multi-Faceted Reward Framework for Guiding Visual Metaphor Generation","created":"2025-08-26","cited_by_count":4,"area":"alignment"},{"id":"2511.19458","title":"Personalized Reward Modeling for Text-to-Image Generation","created":"2025-11-21","cited_by_count":4,"area":"alignment"},{"id":"2512.22170","title":"SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models","created":"2025-12-17","cited_by_count":4,"area":"alignment"},{"id":"2602.09411","title":"K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge","created":"2026-02-10","cited_by_count":4,"area":"alignment"},{"id":"2603.14916","title":"EditHF-1M: A Million-Scale Rich Human Preference Feedback for Image Editing","created":"2026-03-16","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":"2406.16807","title":"Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation","created":"2024-06-24","cited_by_count":3,"area":"alignment"},{"id":"2511.20629","title":"MapReduce LoRA: Advancing the Pareto Front in Multi-Preference Optimization for Generative Models","created":"2025-11-25","cited_by_count":3,"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":"2603.17044","title":"Do Understanding and Generation Fight? A Diagnostic Study of DPO for Unified Multimodal Models","created":"2026-03-17","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":"2602.01624","title":"PISCES: Annotation-free Text-to-Video Post-Training via Optimal Transport-Aligned Rewards","created":"2026-02-02","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":"2604.14910","title":"Reward-Aware Trajectory Shaping for Few-step Visual Generation","created":"2026-04-16","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":"2608.21839","title":"FIRM-Video: Check Before You Score for Reliable Text-to-Video Reward Modeling","created":"2026-08-22","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":"2505.22820","title":"Preference Learning with Response Time: Robust Losses and Guarantees","created":"2025-05-28","cited_by_count":1,"area":"alignment"},{"id":"2510.10609","title":"OmniQuality-R: Advancing Reward Models Through All-Encompassing Quality Assessment","created":"2025-10-12","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":"2511.04753","title":"CPO: Condition Preference Optimization for Controllable Image Generation","created":"2025-11-06","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":"2603.18528","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":"2607.15740","title":"Debiasing Text-to-Image Evaluation via Implicit Cultural Alignment Reward Modeling","created":"2026-07-17","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":"2609.05968","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":"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":"2603.24198","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":"2607.01144","title":"Sequentially-Controlled Interactive Multi-Particle Flow-Maps for Online Feedback-Driven Search","created":"2026-07-01","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":"2607.11886","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"}],"next_cursor":"100"}