CRISP: Cultural Reward Modeling for Implicit Situated Propriety

arXiv:2609.34345 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-10-03

Terminology

• Grounding — 44× in this paper · explained in 3 episodes
• Verifier — 15× in this paper · explained in 2 episodes
• Core — 14× in this paper · explained in 2 episodes
• GRPO — 14× in this paper · explained in 6 episodes
• Benchmark — 12× in this paper · explained in 2 episodes
• Norm Grounding Supervision — 12× in this paper
• Verification — 8× in this paper · explained in 2 episodes
• Multi-Agent Framework — 5× in this paper · explained in 3 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Group Relative Policy Optimization — 3× in this paper
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Commentary — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Data Augmentation — 1× in this paper · explained in 7 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Iterative Refinement — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Personalization — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Thinking mode — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
• Quantile Regression for Distributional Reward Models in RLHF
• Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
• Steerable Cultural Preference Optimization of Reward Models
• OpenAI GPT-5 System Card
• HelpSteer2-Preference: Complementing Ratings with Preferences
• Qwen3 Technical Report
• CultureForest: Understanding and Evaluating Cultural Norm Grounded Reasoning in LLMs

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