reward optimization

CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract) AAAI 2026 CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning CVPR 2026 MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization ACL 2026 PaCo-RL: Advancing Reinforcement Learning for Consistent Image Generation with Pairwise Reward Modeling CVPR 2026 PhyCo: Learning Controllable Physical Priors for Generative Motion CVPR 2026 QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization ACL 2026 SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation ACL 2026 VIVA: VLM-Guided Instruction-Based Video Editing with Reward Optimization CVPR 2026 CARE-STaR: Constraint-aware Self-taught Reasoner ACL 2025 CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback ACL 2025 Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learning AAAI 2025 DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints AAAI 2025 DSO: Aligning 3D Generators with Simulation Feedback for Physical Soundness ICCV 2025 Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025 Fine-Tuning Discrete Diffusion Models via Reward Optimization with Applications to DNA and Protein Design ICLR 2025 MPO: Multilingual Safety Alignment via Reward Gap Optimization ACL 2025 Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models ACL 2025 Test-time Alignment of Diffusion Models without Reward Over-optimization ICLR 2025 Warmup Generations: A Task-Agnostic Approach for Guiding Sequence-to-Sequence Learning with Unsupervised Initial State Generation ACL 2025 X-Guard: Multilingual Guard Agent for Content Moderation ACL 2025 Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models ICLR 2024 Don’t Forget Your Reward Values: Language Model Alignment via Value-based Calibration EMNLP 2024 ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NeurIPS 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization ICLR 2024 Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark ICML 2023