{"total":65,"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":"2402.10207","title":"Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment","created":"2024-02-15","cited_by_count":175,"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":"2509.08826","title":"RewardDance: Reward Scaling in Visual Generation","created":"2025-09-10","cited_by_count":68,"area":"alignment"},{"id":"2509.26346","title":"EditReward: A Human-Aligned Reward Model for Instruction-Guided Image Editing","created":"2025-09-30","cited_by_count":62,"area":"alignment"},{"id":"2504.04907","title":"Video-Bench: Human-Aligned Video Generation Benchmark","created":"2025-04-07","cited_by_count":57,"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":"2406.14477","title":"SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset","created":"2024-06-20","cited_by_count":35,"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":"2508.21066","title":"OneReward: Unified Mask-Guided Image Generation via Multi-Task Human Preference Learning","created":"2025-08-28","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":"2412.10493","title":"AlignGuard: Scalable Safety Alignment for Text-to-Image Generation","created":"2024-12-13","cited_by_count":20,"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":"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":"2511.03997","title":"PhysCorr: Dual-Reward DPO for Physics-Constrained Text-to-Video Generation with Automated Preference Selection","created":"2025-11-06","cited_by_count":15,"area":"alignment"},{"id":"2410.11236","title":"Ctrl-U: Robust Conditional Image Generation via Uncertainty-aware Reward Modeling","created":"2024-10-15","cited_by_count":14,"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":"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":"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":"2511.19268","title":"BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment","created":"2025-11-24","cited_by_count":10,"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":"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":"2603.12247","title":"Trust Your Critic: Robust Reward Modeling and Reinforcement Learning for Faithful Image Editing and Generation","created":"2026-03-12","cited_by_count":9,"area":"alignment"},{"id":"2604.27505","title":"Leveraging Verifier-Based Reinforcement Learning in Image Editing","created":"2026-04-30","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":"2506.13901","title":"Alignment Quality Index (AQI) : Beyond Refusals: AQI as an Intrinsic Alignment Diagnostic via Latent Geometry, Cluster Divergence, and Layer wise Pooled Representations","created":"2025-06-16","cited_by_count":8,"area":"alignment"},{"id":"2507.13158","title":"Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities","created":"2025-07-17","cited_by_count":7,"area":"alignment"},{"id":"2603.15616","title":"GlyphPrinter: Region-Grouped Direct Preference Optimization for Glyph-Accurate Visual Text Rendering","created":"2026-03-16","cited_by_count":6,"area":"alignment"},{"id":"2507.16329","title":"DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling","created":"2025-07-22","cited_by_count":5,"area":"alignment"},{"id":"2502.17721","title":"Aligning Compound AI Systems via System-level DPO","created":"2025-02-24","cited_by_count":4,"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":"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":"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":"2509.01181","title":"FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus","created":"2025-09-01","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":"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":"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":"2602.01658","title":"Efficient Adversarial Attacks on High-dimensional Offline Bandits","created":"2026-02-02","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":"2605.26158","title":"Furina: Fragmented Uncertainty-Driven Refusal Instability Attack","created":"2026-05-24","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":"2504.10329","title":"InstructEngine: Instruction-driven Text-to-Image Alignment","created":"2025-04-14","cited_by_count":1,"area":"alignment"},{"id":"2509.03385","title":"Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation","created":"2025-09-03","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":"2511.18352","title":"MagicWand: A Universal Agent for Generation and Evaluation Aligned with User Preference","created":"2025-11-23","cited_by_count":1,"area":"alignment"},{"id":"2603.05947","title":"LucidNFT: LR-Anchored Multi-Reward Preference Optimization for Flow-Based Real-World Super-Resolution","created":"2026-03-06","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":"2605.20408","title":"Spectral Souping: A Unified Framework for Online Preference Alignment","created":"2026-05-19","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":"2502.03512","title":"YINYANG-ALIGN: Benchmarking Contradictory Objectives and Proposing Multi-Objective Optimization based DPO for Text-to-Image Alignment","created":"2025-02-05","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":"2605.13155","title":"Pareto-Guided Optimal Transport for Multi-Reward Alignment","created":"2026-05-13","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":"2609.30840","title":"Aligning One-Step Generative Models with Reward-Weighted Transport Distillation","created":"2026-09-25","cited_by_count":0,"area":"alignment"},{"id":"2609.39688","title":"ShieldCLIP: Selective Safety Alignment for Harmful Content Mitigation in Multimodal Foundation Models","created":"2026-09-30","cited_by_count":0,"area":"alignment"}],"next_cursor":null}