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![AINativeF Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1795402815298486272.png) AI Native Foundation [@AINativeF](/creator/twitter/AINativeF) on x 2028 followers
Created: 2025-07-25 03:00:13 UTC

X. RAVine: Reality-Aligned Evaluation for Agentic Search

🔑 Keywords: RAVine, agentic search, iterative process, evaluation frameworks, agentic LLMs

💡 Category: AI Systems and Tools

🌟 Research Objective:
   - To propose RAVine, a novel evaluation framework aimed at improving the assessment of agentic search systems by aligning evaluations with realistic user queries and enhancing fine-grained accuracy.

🛠️ Research Methods:
   - Implementation of RAVine focusing on multi-point queries and long-form answers, introducing an attributable ground truth construction to improve evaluation accuracy, and evaluating models' iterative processes and interaction with search tools.

💬 Research Conclusions:
   - RAVine offers a set of advancements that can drive improvements in agentic search systems, providing insights through benchmarking various models, with publicly available code and datasets to aid further research and development.

👉 Paper link:

![](https://pbs.twimg.com/media/Gwq-RCkWYAARiN0.jpg)

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[Post Link](https://x.com/AINativeF/status/1948579009354195113)