✨PRInTS: Reward Modeling for Long-Horizon Information Seeking
📝 Summary:
PRInTS is a generative process reward model that improves AI agents information-seeking. It provides dense scoring on step quality and summarizes long trajectories to manage context. PRInTS enhances agent performance, matching or surpassing frontier models with a smaller backbone.
🔹 Publication Date: Published on Nov 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.19314
• PDF: https://arxiv.org/pdf/2511.19314
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#RewardModeling #InformationSeeking #AIagents #GenerativeAI #MachineLearning
📝 Summary:
PRInTS is a generative process reward model that improves AI agents information-seeking. It provides dense scoring on step quality and summarizes long trajectories to manage context. PRInTS enhances agent performance, matching or surpassing frontier models with a smaller backbone.
🔹 Publication Date: Published on Nov 24
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.19314
• PDF: https://arxiv.org/pdf/2511.19314
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#RewardModeling #InformationSeeking #AIagents #GenerativeAI #MachineLearning