LLMs as a Jury: Bringing Quality to Quantity in GenAI-Aided R&D

As scientific workflows accelerate with AI, one truth remains constant: quality data and human expertise are irreplaceable. For researchers sifting through millions of documents to find genuinely relevant insights, every tool matters—machine, human or otherwise. Generative AI technologies have revolutionized how we formulate queries in natural language and compile insights from vast datasets. But the ultimate question remains: Can you trust the results?