Denoising with retrieval enhances reports by integrating external information into the report-writing process. This approach involves generating an initial 'noisy' draft that is iteratively refined. As stated, the denoised draft is dynamically informed by external information retrieved during each step, significantly enhancing accuracy and comprehensiveness of the content produced[1].
This continuous feedback loop ensures that the evolving draft guides additional searches, allowing the agent to gather timely and relevant context, which helps maintain coherence throughout the research report[1]. Therefore, the integration of the denoising process improves both the quality and relevance of the final output.
Get more accurate answers with Super Pandi, upload files, personalized discovery feed, save searches and contribute to the PandiPedia.
Let's look at alternatives:
- Modify the query.
- Start a new thread.
- Remove sources (if manually added).