CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks
CausalRM: Causal-Theoretic Reward Modeling for RLHF from Observational User Feedbacks explores CausalRM enables cost-effective LLM alignment by learning reward models from readily available observational user feedback, overcoming noise and bias to achieve significant performance gains.. Commercial viability score: 7/10 in LLM Alignment.
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