Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA

1. 1Identify the challenges of applying RAG to AI policy analysis, such as dense legal language and evolving regulatory frameworks
2. 2Analyze the performance of RAG systems using the AGORA corpus, a curated collection of AI policy documents
3. 3Investigate the relationship between retrieval improvements and answer quality in RAG systems
4. 4Develop strategies to address the limitations of RAG systems, such as incorporating domain-specific knowledge and expertise

AI researchers and policy analysts can benefit from understanding the limitations of RAG systems in handling complex policy documents, to improve the reliability of their models

💡 Retrieval improvements alone are not sufficient to guarantee better answers in RAG systems for AI policy QA

🤖 RAG systems struggle with complex policy docs due to legal language & regulatory complexities #AI #PolicyQA