PRInTS: Reward Modeling for Long-Horizon Information Seeking

The article introduces PRInTS, a reward modeling approach designed for long-horizon information seeking tasks. The focus is on improving the performance of language models in scenarios where information needs to be gathered over an extended period. The use of reward modeling suggests an attempt to guide the model's exploration and decision-making process, potentially leading to more effective and efficient information retrieval.