Co-occurring keywords · papers mentioning both
Papers
GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping
CVPR 2026
PIRA: Preference-Oriented Instruction-Tuned Reward Models with Dual Aggregation
EACL 2026
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
ACL 2025
Rethinking Reward Model Evaluation Through the Lens of Reward Overoptimization
ACL 2025
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
ACL 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NeurIPS 2024
Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation
NeurIPS 2024
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs
NeurIPS 2024