Evaluating reward models is crucial for understanding their effectiveness in aligning language models with human preferences, as demonstrated by the REWARDBENCH project.
Reward models are crucial for aligning language models with human preferences, and the REWARDBENCH dataset provides a benchmark for evaluating their performance.