Preference Learning

LeapAlign: Post-training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories CVPR 2026 Learning More from Less: Exploiting Counterfactuals for Data-Efficient Chart Understanding ACL 2026 Learning Personalized Photographic Style from Pairwise User Preferences CVPR 2026 LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models ACL 2026 M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation ACL 2026 Mind the Generative Details: Direct Localized Detail Preference Optimization for Video Diffusion Models CVPR 2026 MoD-DPO: Towards Mitigating Cross-modal Hallucinations in Omni LLMs using Modality Decoupled Preference Optimization CVPR 2026 Multi-level Causal LLM-based Text-to-Motion Generation with Human Alignment CVPR 2026 Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning ACL 2026 OSPO: Object-Centric Self-Improving Preference Optimization for Text-to-Image Generation CVPR 2026 PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling CVPR 2026 PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling ACL 2026 Personalizing LLMs with Binary Feedback: A Preference-Calibrated Optimization Framework ACL 2026 Phrase-grounded APO for Improving Chest X-ray Report Generation CVPR 2026 PosterReward: Unlocking Accurate Evaluation for High-Quality Graphic Design Generation CVPR 2026 Pref-CTRL: Preference Driven LLM Alignment using Representation Editing ACL 2026 Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation CVPR 2026 Select Before Use: On the Importance of Reference Model Selection in Preference Alignment ACL 2026 Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective Generation ACL 2026 SMARTER: A Data-efficient Framework to Improve Toxicity Detection with Explanation via Self-augmenting Large Language Models ACL 2026 SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models CVPR 2026 Style-GRPO: Semantic-Aware Preference Optimization for Image Style Transfer Guided by Reward Modeling CVPR 2026 Towards Fine-Grained Attribution: Instance-Aware Preference Optimization for Aligning Diffusion Models CVPR 2026 Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference Optimization CVPR 2026 What Do LLMs Learn First? Asymmetric Learning Dynamics of Input Complexity and Output Ambiguity in Preference Alignment ACL 2026