Co-occurring keywords · papers mentioning both
Papers
RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters
EMNLP 2025
RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations
ACL 2025
RLTHF: Targeted Human Feedback for LLM Alignment
ICML 2025
RMB: Comprehensively benchmarking reward models in LLM alignment
ICLR 2025
RM-Bench: Benchmarking Reward Models of Language Models with Subtlety and Style
ICLR 2025
RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented Generation
ACL 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking
ICLR 2025
RTTC: Reward-Guided Collaborative Test-Time Compute
EMNLP 2025
RuleAdapter: Dynamic Rules for training Safety Reward Models in RLHF
ICML 2025
Sample Efficient Alignment Learning With Episodic Control
EMNLP 2025
Scalable Ranked Preference Optimization for Text-to-Image Generation
ICCV 2025
Science-T2I: Addressing Scientific Illusions in Image Synthesis
CVPR 2025
SEAL: Systematic Error Analysis for Value ALignment
AAAI 2025
Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models
ICLR 2025
Self-Consistency Preference Optimization
ICML 2025
SELF-EVOLVED REWARD LEARNING FOR LLMS
ICLR 2025
Shallow Preference Signals: Large Language Model Aligns Even Better with Truncated Data?
ACL 2025
Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences
ICML 2025
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
ACL 2025
STAIR: Improving Safety Alignment with Introspective Reasoning
ICML 2025
STaR-SQL: Self-Taught Reasoner for Text-to-SQL
ACL 2025
Structural Reward Model: Enhancing Interpretability, Efficiency, and Scalability in Reward Modeling
EMNLP 2025
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
ICML 2025
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
ICLR 2025
Taming Overconfidence in LLMs: Reward Calibration in RLHF
ICLR 2025