Douwe Kiela

Smaller, cheaper embedding models can beat their larger counterparts simply by optimizing document representations with reinforcement learning, even without access to the retriever's internals.

Even the most advanced LLMs produce completely invalid outputs when extracting structured data from PDFs using realistic, enterprise-scale schemas, highlighting a critical gap in their real-world applicability.