Co-occurring keywords · papers mentioning both
Papers
A Reinforcement Learning Framework for Robust and Secure LLM Watermarking
EACL 2026
A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models
AAAI 2026
Bias Fitting to Mitigate Length Bias of Reward Model in RLHF
ACL 2026
Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction
AAAI 2026
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
ACL 2026
Decouple to Generalize: Context-First Self-Evolving Learning for Data-Scarce Vision-Language Reasoning
CVPR 2026
Do Less, Achieve More: Do We Need Every-Step Optimization for RL Fine-tuning of Diffusion Models?
CVPR 2026
ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models
AAAI 2026
Flash-DMD: Towards High-Fidelity Few-Step Image Generation with Efficient Distillation and Joint Reinforcement Learning
CVPR 2026
GDRO: Group-level Reward Post-training Suitable for Diffusion Models
CVPR 2026
Gradient-Guided Reward Optimization for Inference-time Alignment
UAI 2026
Intrinsic Barriers and Practical Pathways for Human–AI Alignment: An Agreement-Based Complexity Analysis
AAAI 2026
JarvisEvo: Towards a Self-Evolving Photo Editing Agent with Synergistic Editor-Evaluator Optimization
CVPR 2026
Multi-Metric Preference Alignment for Generative Speech Restoration
AAAI 2026
PARIF: Pushing the Pareto Frontier of Instruction Following and Reasoning with Curriculum Reinforcement Learning
ACL 2026
Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning
CVPR 2026
PRISM: Probabilistic Reward Model with Inherent Structural Modeling
ACL 2026
PromptLoop: Plug-and-Play Prompt Refinement via Latent Feedback for Diffusion Model Alignment
CVPR 2026
Revisiting the (Sub)Optimality of Best-of-N for Inference-Time Alignment
COLT 2026
Reward Sharpness-Aware Fine-Tuning for Diffusion Models
CVPR 2026
SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
CVPR 2026
Specification-Guided Reinforcement Learning
AAAI 2026
Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning
CVPR 2026
Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
CVPR 2026
The Image as Its Own Reward: Reinforcement Learning with Adversarial Reward for Image Generation
CVPR 2026