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BLOG.md

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 # Teaching LLMs When Not To Trust Context
 
-**Submission by:** Siddh Sanghavi, Aagam Parekh.
-
 Modern LLM applications are increasingly built around retrieval: give the model more documents, more search results, more memory, more context. That works beautifully until one of those retrieved snippets is wrong.
 
 Then a strange thing happens. The model may already "know" the correct answer, but the moment a document says something false with enough confidence, the model often follows the document. In real systems, that failure mode is not academic. It looks like a support bot following an outdated policy, a research assistant citing a fabricated source, or an enterprise agent trusting the wrong internal note.