Zocuments Research
Exploring the limits of LLMs in enterprise document systems
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Why LLMs Can Limit Scope — and Document AI Usually Can’t
Large language models often appear capable of strong scope limitation. They refuse to reveal private conversations, decline to speculate about confidential information, and resist many forms of adversarial prompting. At the same time, LLM-powered document systems routinely fail at a much simpler task: answering questions only from a specific set...
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Open-World Models, Closed-World Work
Large language models are trained on vast, open-ended corpora—essentially the public internet. That breadth is often framed as a superpower. In enterprise settings, we think it may also be a liability. This post is a perspective, not a research result. It’s a working hypothesis that helps explain why “chat with...
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LLM Document Processing Failures: What Breaks in Real Enterprise Systems
Large language models make it look easy to “chat with your documents.” In demos, you upload a PDF, ask a question, and get a confident answer with citations. In real enterprise environments, that confidence is exactly the problem. This post defines the core research problem behind Zocuments Research: why LLM-based...